Kentucky

Engineer Jobs in Kentucky

37 jobs found

Include remote jobs

4d ago

Senior Security Engineer- Security Operations

GE Appliances Louisville, KY

Louisville, KY

4d ago

Full time Senior Cloud Platforms Cybersecurity Operations

Apply Now

Job Description

GE Appliances is hiring a Senior Security Engineer to lead Security Operations detection and response engineering for enterprise IT and manufacturing environments.

Responsibilities

Act as the senior technical lead and subject-matter expert for security operations, owning detection and response platform architecture, configuration, and operational health; set technical standards used by the MSSP.
Design, build, test, and maintain detection content including correlation rules, behavioral analytics, and IOC/BIOC rules mapped to MITRE ATT&CK; manage the full detection lifecycle using detection-as-code practices (version control, testing, peer review, documentation).
Own telemetry coverage by identifying visibility gaps and onboarding, parsing, and normalizing log sources across endpoints, identity, Microsoft 365, cloud, network, email, DLP, and OT; monitor ingestion health and manage data volume and retention cost.
Engineer security automation and orchestration (SOAR) playbooks and integrations that enrich alerts, automate containment, and connect security tooling with IT service management and collaboration platforms to reduce manual effort and MSSP handling time.
Provide technical oversight of MSSP output in partnership with the Information Security leader owning the MSSP commercial relationship, including:
- Review triage and investigation quality, escalation accuracy, and run-book adherence.
- Drive false-positive reduction and tuning.
- Update MSSP run books and playbooks as detections and the environment change.
Serve as Tier 3 escalation for complex or high-severity incidents escalated by the MSSP; perform hands-on investigation, endpoint and log analysis, scoping, and containment; coordinate with the external incident response retainer when engaged.
Lead hypothesis-driven threat hunting informed by threat intelligence and threats targeting manufacturing; convert hunt outcomes into durable detections and hardening recommendations.
Operationalize threat intelligence by translating advisories, vulnerability disclosures, and adversary reporting into detections, hunts, and blocking actions; track relevant threat actors for GE Appliances.
Validate detection and response effectiveness using purple-team exercises, adversary emulation, and breach-and-attack simulation; measure coverage against MITRE ATT&CK and confirm MSSP detection and response.
Maintain EDR/XDR platform health across endpoint and server estate, including agent coverage, prevention and exploit-protection policies, exclusions governance, and response actions.
Strengthen vulnerability operations run by the MSSP: scan coverage (including authenticated scanning), risk-based prioritization using exploitability and threat intelligence (e.g., CISA KEV, EPSS), correlate vulnerabilities with active threat activity, and automate remediation workflows.
Partner with Cloud, Network, and Identity security engineers to integrate cloud security posture (CNAPP), network, and identity signals into detection and response, including identity threat detection for account takeover, MFA fatigue, and AiTM phishing.
Partner with OT Security to extend monitoring and detection into manufacturing environments safely for production and consistent with ISA/IEC 62443 and NIST SP 800-82.
Author and maintain incident response playbooks and technical run books; lead the technical portion of post-incident reviews and drive corrective actions to closure.
Define, automate, and report operational metrics and KPIs (e.g., MTTD, MTTR, ATT&CK detection coverage, false-positive rate, log source health, MSSP escalation quality) to the CISO and Information Security leadership.
Contribute to the security operations roadmap by evaluating emerging capabilities (including AI-assisted triage and agentic SOC automation) and supporting platform evaluations, proofs of concept, and TCO analyses.
Provide technical evidence for logging, monitoring, and incident response controls in SOX, C-SOX, PCI-DSS, and other audits; drive remediation of related findings.
Mentor engineers and transfer knowledge to MSSP analysts on the GE Appliances environment, detections, and response procedures.

Requirements

Bachelor’s degree in Information Systems, Cybersecurity, Computer Science, or related technical field, or equivalent practical experience.
6–10 years progressive experience in IT or information security, including 4+ years hands-on experience in security operations, detection engineering, or incident response in a large enterprise environment.
Deep hands-on experience engineering and administering SIEM/SOAR and EDR/XDR platforms (e.g., Palo Alto Networks Cortex XSIAM/XDR, Splunk, Microsoft Sentinel/Defender, CrowdStrike), including writing detection rules/queries (e.g., XQL, SPL, KQL).
Proven experience building detection content mapped to MITRE ATT&CK and tuning it for fidelity at enterprise scale.
Experience building SOAR playbooks and integrations; proficiency in Python and/or PowerShell; working with REST APIs and JSON.
Hands-on incident response experience with significant enterprise incidents such as ransomware, BEC, and account takeover, including endpoint, log, and network analysis.
Experience in a technical oversight role working with an MSSP/MDR, including tuning, escalation quality review, and run-book development.
Strong understanding of log sources and telemetry across Windows, Linux, network, cloud (AWS, Azure, and/or GCP), Microsoft 365, and identity providers.
Working knowledge of MITRE ATT&CK, NIST SP 800-61, NIST CSF, and CIS Controls.
Excellent verbal and written communication skills with the ability to communicate with technical and executive audiences.

Technologies

Palo Alto Networks Cortex XSIAM/XDR, Splunk, Microsoft Sentinel/Defender, CrowdStrike
XQL, SPL, KQL
Python, PowerShell, REST APIs, JSON
MITRE ATT&CK, SOAR, SIEM, EDR, XDR
Microsoft 365, CNAPP
CISA KEV, EPSS
ISA/IEC 62443, NIST SP 800-82, NIST SP 800-61, NIST CSF, CIS Controls
SOX, C-SOX, PCI-DSS
Detection-as-code, Git, Sigma, Atomic Red Team, MITRE Caldera

Preferred qualifications

Certifications: GIAC (GCIH, GCIA, GCDA, GCFA, GCTI), Palo Alto Networks Cortex certifications, CISSP, or similar.
Experience with detection-as-code practices, Git, CI/CD pipelines, and vendor-neutral rule formats such as Sigma.
Experience with threat hunting, purple teaming, and adversary emulation tools (Atomic Red Team, MITRE Caldera, breach-and-attack simulation platforms).
Familiarity with OT/ICS monitoring frameworks such as ISA/IEC 62443 or NIST SP 800-82.
Experience integrating cloud security (CNAPP/CSPM) and identity telemetry into detection and response.
Experience applying AI and large language models to security operations; familiarity with AI security frameworks such as MITRE ATLAS and the OWASP Top 10 for LLM Applications.
Experience in manufacturing, critical infrastructure, or global multinational organizations.

Working conditions

Normal office environment.
Occasional weekend and/or evening work; after-hours escalation for major security incidents and participation in an on-call rotation.

Location

Louisville, KY (onsite), USA

View full job page →

5d ago

Manufacturing Engineer I

Neogen Lexington, KY

Lexington, KY

5d ago

Full time Design Design Engineering Engineering

Apply Now

Job Description

The Manufacturing Engineer at Neogen supports the day-to-day effectiveness of products, processes, and equipment, with opportunities to participate in the integration of new products into production. The role works routinely with cross-functional teams to evaluate, troubleshoot, and implement manufacturing processes within the business unit.

Key Responsibilities

Collaborate with R&D, Process Development, Quality, Production, Regulatory, Equipment Engineering, Supply Chain, and Marketing to support successful project execution
Contribute to both new product development and product support activities, including process capability studies, process development, Six Sigma and Value Improvement projects, and creation of report materials and process/test documentation
Design and coordinate standard engineering tests and experiments
Design, procure, and fabricate equipment tooling and fixtures
Troubleshoot new and existing manufacturing process issues related to design, materials, or process conditions
Summarize and analyze test results and draw conclusions to guide next steps
Complete and manage Capital Equipment Request Authorizations
Prepare standard reports and documents to communicate technical results to the broader technical community
May lead cross-functional project teams
Identify, implement, and manage equipment requirements aligned with production goals

Requirements

Bachelor's Degree in Engineering (preferably Mechanical, Biochemical/Bio Systems, Industrial, or Manufacturing Engineering)
4+ years of related experience, or a combination of education and experience
2+ years of experience in a manufacturing environment
Understanding of manufacturing problem solving and process interrogation tools such as Six Sigma, and production flow tools such as LEAN manufacturing

Preferred Qualifications

1+ year of manufacturing or process engineering experience in automated assembly
1 to 2 years of experience with capital project management and justification
1 to 2 years of AutoCAD and SolidWorks design experience
SAP experience (plus)
Microsoft Office proficiency

Tools and Technologies

Six Sigma
LEAN manufacturing
AutoCAD
SolidWorks
SAP
Microsoft Office
Value Improvement projects

Company Overview

Neogen provides solutions that support quality, quantity, and safety across the global food supply, from farm to fork. The company’s culture combines stability with a commitment to professional and personal growth, guided by its Pillars of Trust: Openness, Honesty, Credibility, Respect, and Service.

Location and Work Setting

Lexington, KY (onsite)

View full job page →

7d ago

QC Project Engineer

Thalle Construction Company Kentucky

Kentucky

7d ago

Full time Construction Document Control Document Control Engineering

Apply Now

Job Description

The QC Project Engineer supports the Quality Control program for a Dam Safety Modification project by overseeing documentation activities, managing redline review, producing as-built drawings, and coordinating between field operations and project management to keep records compliant with contract plans, specifications, and owner requirements. The position is onsite in Kentucky.

Key Responsibilities

Review superintendent markups and redline drawings for accuracy, completeness, and compliance with contract documents.
Maintain and update redline drawings throughout the project lifecycle.
Develop and prepare final as-built drawings and documentation packages in accordance with contract requirements.
Ensure field changes are properly documented and incorporated into record drawings.
Coordinate with field staff to confirm installed work aligns with contract documents and approved changes.
Assist with ensuring compliance with engineering principles, project specifications, and customer contract requirements.
Support preparation and maintenance of project Quality Control documentation.
Collaborate with the Project Manager and field management to resolve discrepancies between drawings and site conditions.
Assist in reviewing RFIs, submittals, change orders, and design revisions as they relate to redlines and as-builts.
Track and document revisions resulting from approved change orders.
Support cost and schedule impacts related to drawing revisions and field changes.
Participate in project meetings and document key decisions affecting design or installation.
Perform field walks to verify installation against contract drawings.
Serve as project recorder for modifications, design clarifications, and field directives.
Coordinate with survey teams to ensure accurate record data for as-built documentation.
Ensure documentation meets owner requirements, including USACE standards when applicable.
Prepare and submit redline logs, documentation trackers, and as-built status reports.
Maintain organized digital and hard-copy drawing control systems.
Support audit readiness and final project closeout documentation.

Required Qualifications

Bachelor’s Degree in Engineering, Construction Management, or related technical field (or equivalent experience).
Minimum of 5+ years of experience in heavy civil construction.
Demonstrated experience preparing and managing redline and as-built documentation.
Strong ability to interpret complex construction plans, specifications, and contract documents.
Proficiency with construction management and document control software.
Strong working knowledge of Microsoft Office (Word, Excel) and PDF markup tools.

Preferred Qualifications

Experience with USACE projects.
Experience with heavy civil site projects such as water control structures, dams, levees, concrete structures, and mass excavation.
OSHA 30-hour Construction Safety certification.

Technologies

Microsoft Office (Word, Excel)
PDF markup tools

Benefits

Major medical
Dental
Vision
Short and long-term disability
Generous PTO
Paid company holidays
Life insurance
401K with a company match

Location

Falls of Rough, KY (onsite)

Physical Requirements

Ability to safely and successfully perform essential job functions consistent with the ADA, FMLA, and other federal, state, and local standards, including meeting qualitative and/or quantitative productivity standards.
Ability to maintain regular, punctual attendance consistent with the ADA, FMLA, and other federal, state, and local standards.
Must be able to lift and carry up to 50 lbs.
Must be able to move freely about a construction site with demanding terrain, including climbing ladders and stair towers, uneven and often wet surfaces, and slopes.
Must be able to talk, listen, and speak clearly on the telephone.

View full job page →

10d ago

Lead AI Engineer

Humana Louisville, KY

Louisville, KY

10d ago

$171k - $235k/yr Full time Manager Artificial Intelligence Cloud

Apply Now

Job Description

Humana is hiring a Lead AI Applied Engineer to provide hands-on technical leadership for production AI systems built around LLMs in a highly regulated healthcare environment. You will own architecture and engineering standards, while designing and building the most critical components needed to deliver reliable, scalable, and auditable AI solutions that support healthcare decisions at meaningful scale.

This is a hybrid role based in Louisville, KY, with 40 scheduled weekly hours, and it requires a strong focus on operational excellence, privacy, security, governance, and auditability.

Responsibilities

Lead the architecture of production AI systems where LLMs are foundational to the product experience.
Make key technical decisions covering model selection, system boundaries, platform architecture, and build-versus-buy strategies.
Own the highest-risk, highest-impact technical challenges involving reliability, explainability, and correctness.
Establish standards that influence engineering culture and how the team builds and ships AI products.
Work on systems operating at significant scale, processing millions of documents and supporting healthcare decisions across a large member population.
Partner with skilled engineers while staying deeply hands-on in coding, design, and production operations.
Simplify complex solutions and drive pragmatic engineering decisions that maximize business value.
Own architecture, design, and evolution of full-stack AI applications, including LLM pipelines, retrieval systems, agentic workflows, human-in-the-loop processes, and supporting platform services.
Design and implement scalable AI solutions emphasizing reliability, accuracy, auditability, performance, and cost efficiency.
Build and maintain the most complex and high-risk system components where architecture and implementation decisions have business impact.
Define and enforce engineering standards for AI systems, including evaluation methodologies, structured outputs, observability, testing, fallback strategies, latency optimization, and cost controls.
Lead technical design reviews and guide architecture decisions related to platform capabilities, AI systems, integrations, infrastructure, and software patterns.
Evaluate and recommend technologies, frameworks, AI models, and third-party solutions based on technical and business requirements.
Translate ambiguous business goals into clear technical strategies, roadmaps, and executable workstreams.
Provide technical leadership across multiple projects to ensure alignment with architectural standards and long-term platform objectives.
Mentor and coach engineers through design reviews, code reviews, pair programming, and technical guidance.
Partner with product, engineering, clinical, and operational stakeholders to meet business and regulatory requirements.
Own operational excellence, including deployment strategies, monitoring, incident management, and production reliability.
Ensure solutions comply with privacy, security, governance, and audit requirements in a regulated healthcare environment.
Foster a culture of ownership, continuous learning, mentorship, and accountability, and drive alignment across teams.

Requirements

Bachelor's degree in Computer Science, Engineering, or related technical field (or equivalent practical experience).
8+ years of software engineering experience, including designing and operating production systems at scale.
Proven track record of delivering AI-enabled products or platforms into production environments.
Deep hands-on experience integrating and operating LLMs in business-critical workflows.
Experience designing systems using structured outputs, tool calling, retrieval-augmented generation (RAG), agentic workflows, orchestration frameworks, and evaluation pipelines.
Experience making architectural decisions for systems where AI is a core product experience component.
Demonstrated success leading technical initiatives across engineering teams, including architecture reviews, technical planning, mentoring, and delivery execution.
Strong programming skills in Python and/or TypeScript/JavaScript.
Experience designing and operating distributed systems, APIs, data platforms, and cloud-native applications.
Strong understanding of reliability engineering, system performance, scalability, and operational excellence.
Ability to balance tradeoffs across quality, latency, cost, security, and maintainability.

Technology Stack

TypeScript
React / Next.js
Python
PostgreSQL
Gemini on Vertex AI
OCR and Document AI technologies
Docker
Kubernetes
Modern CI/CD platforms and tooling

Benefits

Medical, dental and vision benefits
401(k) retirement savings plan
Time off (including paid time off, company and personal holidays, paid parental and caregiver leave)
Short-term and long-term disability
Life insurance
Bonus incentive plan (eligible)

Preferred Qualifications

Experience taking AI products from concept through production deployment and long-term operational ownership.
Experience developing AI systems where LLMs are part of critical decision-support or operational workflows.
Expertise in evaluation frameworks, benchmark datasets, regression testing, model quality measurement, and human review processes.
Experience with agentic systems, Model Context Protocol (MCP), workflow orchestration, multi-step reasoning frameworks, and AI observability platforms.
Experience with React, Next.js, modern frontend technologies, and full-stack application development.
Experience deploying and managing workloads using Kubernetes, Docker, modern CI/CD platforms, and cloud-native technologies.
Experience with Google Cloud Platform, Azure, AWS, Vertex AI, or comparable AI and cloud infrastructure platforms.
Experience working in highly regulated industries such as healthcare, financial services, or government.
Knowledge of privacy, compliance, security, and governance frameworks impacting AI and data-driven applications.
Experience implementing AI-assisted development practices that improve engineering productivity and delivery speed.
Excellent communication, collaboration, problem-solving, and leadership skills.

Additional information: This role operates in a highly regulated environment where handling sensitive and protected data is a fundamental requirement and a core part of engineering culture. Success depends on building secure, compliant, auditable, and trustworthy AI systems. The work style is hybrid, requiring employees to work three days per week in the office and the remaining days remotely. Qualified candidates must currently reside within, or be willing to relocate to, a commutable distance from one of the talent markets.

Location: Louisville, KY (hybrid)
Pay range: USD 170,800 - 234,800 per year
Schedule: 40 hours per week

View full job page →

10d ago

Principal AI Engineer

Humana Louisville, KY

Louisville, KY

10d ago

$207k - $284k/yr Full time Senior Agentic Ai Ai Agent

Apply Now

Job Description

The Principal AI Applied Engineer will define long-term AI technical strategy and architecture for enterprise healthcare AI-enabled products, while staying hands-on across prototyping, experimentation, and software delivery.

Role Overview

This position guides model strategy, platform direction, standards, governance, and cross-team adoption to support scalable, reliable, and responsible production AI systems. The role combines strategic architecture leadership with direct engineering involvement to advance both emerging capabilities and enterprise-grade operational readiness.

Key Responsibilities

Define and drive long-term technical strategy, reference architecture, and technology roadmap for AI-enabled products and platforms.
Set architectural patterns and best practices for retrieval systems, LLM orchestration, agentic workflows, human-in-the-loop processes, evaluation frameworks, and AI governance.
Lead organization-wide technical decision-making across model strategy, vendor selection, platform investments, build-versus-buy decisions, and shared infrastructure capabilities.
Design and promote scalable architectures that balance reliability, performance, security, compliance, maintainability, and cost efficiency.
Establish engineering standards for evaluation, observability, model lifecycle management, responsible AI practices, and operational excellence.
Develop prototypes, proofs of concept, and reference implementations to reduce risk for emerging technologies and strategic platform investments.
Conduct cross-functional architecture reviews and provide technical guidance across multiple engineering teams.
Mentor Lead Engineers, Senior Engineers, and emerging technical leaders through architecture reviews, design feedback, coaching, and technical sponsorship.
Develop and communicate technical roadmaps aligned with business strategy and organizational objectives.
Partner with executive leadership to translate business priorities into technical strategies, communicating technical opportunities, risks, and tradeoffs.
Represent engineering in strategic vendor evaluations, compliance discussions, governance reviews, and enterprise planning initiatives.
Drive adoption of common platforms, standards, and engineering practices across teams.
Ensure AI systems are designed and operated to meet privacy, security, compliance, governance, and auditability requirements.

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
12+ years of software engineering experience, including extensive experience designing and operating large-scale distributed systems.
Proven experience designing, delivering, and operating production AI-enabled platforms or products at enterprise scale.
Deep expertise in large language model technologies, AI platform design, retrieval-augmented generation (RAG), agentic systems, orchestration frameworks, evaluation methodologies, and AI operations.
Extensive experience designing cloud-native architectures and highly scalable, resilient systems.
Ability to define technical direction that influenced teams, organizations, or product portfolios beyond direct reporting relationships.
Experience establishing engineering standards, architectural frameworks, or technical platforms adopted across multiple teams.
Strong understanding of AI operational challenges including model reliability, latency, cost optimization, governance, observability, and risk management.
Demonstrated success influencing executive stakeholders and driving organizational decisions through technical leadership and evidence-based recommendations.
Expert-level proficiency in Python and/or TypeScript/JavaScript.
Ability to prototype, debug, review, and contribute code across multiple layers of the technology stack.

Preferred Qualifications

Experience leading AI platform strategy across multiple business units or product organizations.
Experience developing enterprise standards for AI evaluation, testing, observability, governance, and responsible AI practices.
Expertise evaluating and managing AI vendor ecosystems across multiple model providers and platform technologies.
Experience building shared AI infrastructure and platform capabilities consumed by multiple engineering teams.
Experience with agentic architectures, Model Context Protocol (MCP), workflow orchestration, autonomous systems, and emerging AI frameworks.
Experience operating AI systems at significant scale while managing performance, reliability, and cost tradeoffs.
Experience working in regulated industries such as healthcare, financial services, life sciences, or government.
Deep understanding of privacy, security, compliance, governance, and risk management requirements in highly regulated environments.
Experience driving adoption of AI-assisted software development practices across engineering organizations.
Experience advising executive leadership on emerging technologies, platform strategy, and enterprise architecture decisions.
Exceptional communication, leadership, collaboration, and strategic problem-solving skills.

Technologies

TypeScript, React / Next.js
Python
PostgreSQL
Gemini on Vertex AI
OCR, Document AI technologies
Docker, Kubernetes
Modern CI/CD platforms and tooling

Leadership Expectations

Serve as the highest-level technical authority within the AI Applied Engineering organization.
Influence organizational outcomes through technical excellence, credibility, and demonstrated results rather than formal authority.
Balance innovation with operational discipline and long-term sustainability.
Establish scalable technical standards that enable teams to move faster while maintaining quality and reliability.
Drive alignment across engineering, product, business, clinical, compliance, and executive stakeholders.
Build organizational capability by mentoring and developing the next generation of technical leaders.
Foster a culture of engineering rigor, continuous learning, accountability, and responsible AI development.

Benefits

Medical, dental and vision benefits
401(k) retirement savings plan
Time off (including paid time off, company and personal holidays, paid parental and caregiver leave)
Short-term and long-term disability
Life insurance

Additional Information

Location: Louisville, KY 40201 (onsite)
Work style: hybrid schedule requiring employees to work three days per week in the office and the remaining days remotely
Salary: USD 206,600 - 284,300 per yearly
Qualified candidates must currently reside within, or be willing to relocate to, a commutable distance from one of the talent markets.

Regulatory and Quality Focus

This role operates in a highly regulated environment where responsible handling of sensitive and protected information is fundamental. Success requires a commitment to building secure, compliant, auditable, and trustworthy AI systems that meet high standards for privacy, reliability, and quality.

View full job page →

10d ago

Senior AI Engineer

Humana Louisville, KY

Louisville, KY

10d ago

$141k - $194k/yr Full time Backend Developer Senior Agentic Ai

Apply Now

Job Description

Humana is hiring a Senior AI Applied Engineer to build and operate production AI systems at scale for processing clinical documents using large language models. This role drives end-to-end ownership across application delivery, LLM orchestration, evaluation, infrastructure, and production operations, with an emphasis on accuracy, reliability, auditability, and scalability in a regulated healthcare setting.

Core Responsibilities

Design, develop, and deploy full-stack AI applications, including frontend experiences, APIs, backend services, and data pipelines.
Build and optimize LLM-based workflows for information extraction, classification, retrieval, summarization, and agentic processes.
Create reliable LLM prompting strategies, structured output frameworks, tool-calling capabilities, and fallback mechanisms.
Design and implement retrieval-augmented generation (RAG) systems using embeddings, vector databases, and semantic search technologies.
Develop evaluation frameworks, including benchmark datasets, regression testing, quality metrics, and human review workflows.
Implement human-in-the-loop processes so clinicians and domain experts can validate AI outputs and provide feedback for continuous improvement.
Build and maintain document-processing pipelines, including OCR, document ingestion, metadata extraction, indexing, and search.
Optimize AI systems for accuracy, latency, reliability, scalability, and cost efficiency.
Implement observability practices for production systems, including monitoring, logging, alerting, and incident response.
Deploy and operate services in cloud-native environments using Kubernetes, Docker, CI/CD pipelines, and supporting infrastructure tooling.
Collaborate with product, engineering, clinical, and operational stakeholders to translate complex requirements into scalable solutions.
Ensure solutions meet privacy, security, compliance, and auditability requirements in a regulated healthcare environment.

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or another quantitative or related technical discipline, or an equivalent combination of education and practical experience.
5+ years of experience building and operating production software systems.
Experience developing backend services, APIs, distributed systems, or data-intensive applications.
Hands-on experience integrating LLMs into production applications beyond basic chat interfaces, including structured outputs, tool calling, RAG, agents, or multi-step workflows.
Experience with at least one major AI platform or model provider such as OpenAI, Anthropic, Google, Azure AI, or AWS Bedrock.
Strong programming skills in Python and/or TypeScript/JavaScript.
Experience debugging, monitoring, and supporting production applications used by real customers.
Ability to work independently, navigate ambiguity, and take ownership from concept through deployment.

Preferred Qualifications

Experience building AI systems where LLMs are part of the critical production workflow.
Experience designing evaluation frameworks, testing strategies, prompt versioning, tracing, and model performance monitoring.
Experience with agentic architecture, Model Context Protocol (MCP), tool orchestration frameworks, or autonomous workflows.
Experience with React, Next.js, modern frontend development, and full-stack application architecture.
Experience deploying and operating workloads in Kubernetes, Docker, and cloud environments.
Experience with modern CI/CD practices and infrastructure automation.
Experience working in regulated industries such as healthcare, financial services, or government.
Familiarity with privacy, compliance, governance, and data protection requirements.
Experience using AI-assisted development tools to improve engineering productivity and software quality.
Strong problem-solving, communication, and collaboration skills.

Technology Stack

TypeScript
React / Next.js
Python
PostgreSQL
Gemini on Vertex AI
OCR and Document AI technologies
Docker
Kubernetes
Modern CI/CD platforms and tooling
OpenAI, Anthropic, Google, Azure AI, AWS Bedrock

Location, Work Style, and Schedule

Location: Louisville, KY (hybrid). Hybrid schedule requires employees to work three days per week in the office and the remaining days remotely.

Weekly hours: 40.

Qualified candidates must currently reside within, or be willing to relocate to, a commutable distance from one of the talent markets.

Compensation and Incentives

Pay range: USD 141,100 - 194,000 per year.
This job is eligible for a bonus incentive plan.

Benefits

Medical, dental and vision benefits
401(k) retirement savings plan
Time off (including paid time off, company and personal holidays, paid parental and caregiver leave)
Short-term and long-term disability
Life insurance

View full job page →

10d ago

Software Engineer

Fives DyAG Corp. Hebron, KY

Hebron, KY

10d ago

$86k - $110k/yr Full time Automation CNC CNC Controllers

Apply Now

Job Description

Join Fives DyAG Corp. in Hebron, KY (onsite) as a Software Engineer supporting advanced industrial machinery built around multi-axis motion, robotic manipulators, and integrated peripheral equipment. This role focuses on control software that helps industrial systems operate reliably, perform consistently, and integrate smoothly with CNC platforms and industrial communications. Salary range: $85,700 - $110,000 per year, based on relevant experience and qualifications.

What you’ll work on

You’ll develop, maintain, and support control software for CNC-controlled industrial equipment and automation systems. The scope includes integrating CNC platforms, building and maintaining Windows-based applications, supporting operator interfaces, and connecting machine-control software to industrial communications and database technologies. You’ll also collaborate with cross-functional engineering teams to improve system capabilities and resolve issues across software and electromechanical systems.

Responsibilities

Develop and maintain software for CNC-controlled industrial machinery and integrated automation systems.
Configure and integrate CNC platforms using industry-standard development and programming environments.
Develop and support applications using Microsoft Visual Studio and Windows-based software platforms, including real-time operating systems.
Maintain source code repositories, version control, and software development procedures.
Support operator interfaces, including HMI applications, and contribute to enhancements.
Integrate industrial communication protocols, data interfaces, and database technologies into machine-control applications.
Continuously improve software performance, reliability, functionality, and overall system capabilities.
Participate in cross-functional engineering reviews and collaborate with electrical, mechanical, and controls engineering teams.
Diagnose and resolve software, controls, and electromechanical system issues.
Communicate technical information clearly and work effectively both independently and as part of a collaborative engineering team.

Requirements

Experience developing and maintaining software using C, C++, C#, VB.NET, Windows Forms, and industrial PLC programming languages.
Familiarity with CNC integration, industrial automation platforms, and real-time operating systems.
Experience with multi-axis servo systems, motion control applications, and robotic interfaces.
Knowledge of industrial sensors, I/O systems, fieldbus networks, and machine communication technologies.
Experience integrating machine safety systems into automated equipment.
Familiarity with software quality processes, configuration management, and structured development practices.
Experience integrating industrial communication protocols, including OPC UA and Modbus TCP, plus database integration.
Bachelor’s degree in Engineering (preferably Electrical or Computer Engineering) or Computer Science.
Equivalent relevant professional experience may be considered in place of a degree.

Additional details

Five or more years of relevant software development, controls programming, or industrial automation experience preferred.
Strong analytical, troubleshooting, written communication, and verbal communication skills.
Must be a U.S. citizen or lawful permanent resident.
Travel expected to be less than 10%.
Work location: In person (onsite).

Technologies you’ll use: C, C++, C#, VB.NET, Windows Forms, Microsoft Visual Studio, Windows-based software platforms, real-time operating systems, industrial PLC programming languages, OPC UA, Modbus TCP, fieldbus networks, database technologies.