Ai Engineer

Ai Engineer Jobs

14 jobs found

Today

Staff Software Engineer, Agentic AI Harness & Quality

ServiceNow Mountain View, CA

Mountain View, CA

Today

Full time Backend Developer Agent Orchestration Agentic Ai

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Job Description

ServiceNow is hiring a Staff Software Engineer for the Agentic AI Harness & Quality team in Mountain View, CA (onsite) to advance agent reliability and scalability through the Moveworks AI Assistant platform.

Responsibilities

Own and deliver challenging engineering work across agent reliability and scalability, with focus on agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, and LLM self-reflection
Implement frontier AI algorithms and architectures and help productionize them at scale
Apply the latest advances in machine learning, LLMs, and AI agents to improve products and user experiences
Contribute to the roadmap and help evolve engineering areas with growing scope and customer impact
Write robust, extensible, readable, and performant code with an emphasis on production readiness
Partner with subject matter experts across the company, including machine learning, security, product, user experience, and customer success
Mentor fellow engineers on building, maintaining, and evolving great software
Collaborate closely with machine learning engineers to build world-class AI systems

Requirements

8+ years of experience designing, building, and improving production systems, ideally at scale
Ability to think and communicate clearly about complex engineering problems and systems
Comfort giving and receiving feedback, with a strong commitment to operational excellence and accountability
Readiness to start quickly in a Mac development environment, programming in Python, Golang, and/or Java
Desire to ship at a startup pace with high ownership
Attention to detail
Drive to deliver production-grade code and ship product improvements
Strong appetite for continuous incremental wins and completing challenging projects quickly
High curiosity about engineering beyond a single discipline and ongoing desire to learn and stay at the cutting edge of applied AI

Technologies

Python
Golang
Java
Mac

Work Persona

Work personas (flexible, remote, or required in office) are assigned based on work needs and assigned work location
To determine eligibility, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service

Equal Opportunity Employer

ServiceNow is an equal opportunity employer
All qualified applicants receive consideration without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law
Applicants with arrest or conviction records will be considered in accordance with legal requirements

Accommodations

For reasonable accommodation during the application process or an alternative method to apply, contact globaltalentss@servicenow.com

Export Control Regulations

For roles requiring access to controlled technology, ServiceNow may need to obtain export control approval from government authorities for certain individuals
Employment is contingent on ServiceNow obtaining any required export license or other approval from relevant export control authorities

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Today

Applied AI Engineer

Cognition AI Sydney, FL 🇺🇸 Remote

Sydney, FL

Today

$180k - $225k/yr Full time Backend Developer Agentic Ai Ai Automation

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Job Description

Cognition AI is modernizing how enterprise teams build and ship software, and the Applied AI Engineer role sits at the center of that work. In this position, you operationalize AI modernization by driving adoption of Devin, embedding with engineering groups, and integrating agentic workflows that support measurable productivity improvements.

Beyond deployment, you help shape a repeatable way to deliver value: turning customer engagements into playbooks, best practices, and enablement materials that can scale across accounts.

What you’ll do

Embed with enterprise engineering teams to drive deep, lasting adoption of Devin, owning outcomes beyond onboarding
Architect and implement agentic workflows across engineering, QA, support, data, and product, identifying where AI provides the highest leverage and building toward it
Lead interactive programs for enterprise engineering teams, including live workshops and pair programming sessions
Guide customers through installing, configuring, and optimizing Devin and associated tools such as DeepWiki and MCP integrations
Pair-program on live production problems to demonstrate high-value usage patterns and accelerate applied AI fluency
Quantify impact by tracking productivity metrics, surfacing ROI stories, and making the business case for expanding Devin within accounts
Partner with leadership to scale field learnings into structured playbooks and best practices that go beyond individual engagements
Create enablement materials, best practices, and shared playbooks grounded in customer learnings

What you bring

Degree in a STEM field or equivalent hands-on experience
3+ years in software engineering, technical consulting, deployment strategy, forward deployed engineering, solutions engineering, or a similar role, with strong coding proficiency in Python, JavaScript/TypeScript, or similar languages
Proven ability to communicate complex technical topics to diverse audiences
Track record of driving technical adoption and measurable impact within engineering organizations
Strong commercial instincts and an account-oriented approach to engagement growth
Excellent verbal and written communication skills
Demonstrated ability to learn and adapt exceptionally fast

Tools you’ll work with

Devin
Python
JavaScript/TypeScript
DeepWiki
MCP

Compensation

Estimated Base Salary: USD 180,000 - 225,000 per year. Offers equity.

Location

Sydney, FL (remote)

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Today

Senior Ai Engineer

Powerfront Remote 🌍 Remote

Remote

Today

Full time Backend Developer Senior Ai Engineer

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Job Description

Powerfront is building the INSIDE™ AI Customer Visual Engagement Platform to advance retail technology through practical, high-impact AI. Join a forward-thinking team with a virtual workforce that stays remote while remaining highly collaborative. You will work on AI features that support real customer experiences, partnering with product, design, and engineering to deliver outcomes at scale.

What You’ll Do

As a Senior AI Engineer, you will design, develop, and integrate AI models and GPT/LLM capabilities into Powerfront’s core SaaS platform. Your work will include building features such as intelligent chatbots, automated ticket routing, sentiment analysis, personalized recommendations, and proactive customer support.

Develop and integrate AI solutions that leverage GPT and large language models (LLMs) to power core product experiences.
Implement Tool Calling within GPT integrations, connecting AI models to external tools and APIs for more complex interactions.
Use data analysis on large datasets spanning customer interactions, product information, and retail transactions to identify trends and insights that guide training and optimization.
Build systems with Vector Databases for embeddings-based similarity search and context management; work with Graph Databases and RAG (Retrieval-Augmented Generation) is highly desirable.
Design and implement AI-powered services using serverless technologies, primarily Cloudflare Workers and AWS Lambda, with a focus on scalable, efficient, and cost-effective delivery.
Monitor, evaluate, and continuously optimize AI model and integration performance for accuracy, efficiency, and scalability.
Collaborate with product managers, UX designers, and other engineers to translate business requirements into technical specifications and high-quality AI features.
Stay current with advancements in AI, machine learning, and NLP and identify opportunities to incorporate new approaches.

What You Bring

Demonstrated experience building and deploying AI solutions, with strong focus on GPT integrations and Tool Calling.
Strong experience with Vector Databases; Graph Databases and RAG implementation are highly desirable, plus familiarity with SQL Server or Postgres SQL.
Experience with serverless technologies, specifically Cloudflare Workers.
Proficiency with REST APIs and TypeScript, JavaScript, CSS, and HTML; C# .NET Core is a strong plus.
Understanding of AI risk assessment, including configuring Guardrails and familiarity with common attack methods against AI systems, such as adversarial attacks and data poisoning.
Strong data analysis skills and proven ability to derive insights from large datasets; experience in the retail sector and understanding of retail customer journeys is essential.
Excellent problem-solving and analytical skills, with the ability to address complex technical challenges quickly.
Strong communication and collaboration skills in a team environment.
Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Master’s degree or PhD is preferred but not required if significant practical experience is demonstrated.

Benefits

Dynamic & forward-thinking organization revolutionizing retail technology.
Virtual workforce, remote but highly interactive and collaborative.
Competitive salary and benefits.
Part of an amazing culture with high client and staff retention.
Opportunity to take pride in partnering with prestigious brands.
Career progression and longevity.

Additional Desired Qualifications

Experience with SPARQL or Gremlin query languages for graph databases.
Experience with major cloud platforms: AWS, Azure, or GCP.
Contributions to open-source AI projects.
Experience working in an Agile development environment.
Experience developing B2C SaaS products, especially in customer service.

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Today

Audio AI Engineer

Dev Technology Reston, VA

Reston, VA

Today

$80k - $160k/yr Full time Ai Engineer Artificial Intelligence Asr

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Job Description

Dev Technology is building a multilingual audio foundation to power a mobile translation experience that runs performantly on an iPhone. In this onsite role in Reston, VA, you will develop and improve a speech-to-text core, with ownership spanning multilingual ASR data, model adaptation for constrained devices, and reproducible evaluation of real-world quality.

What you’ll do

Ingest, clean, segment, label, and version multilingual audio and transcript datasets, with specific attention to code-switching and borrowed-word behavior across the target language set.
Fine-tune and compress large ASR models to meet iPhone-class memory, latency, and battery constraints while preserving transcription quality, using approaches such as LoRA/QLoRA, quantization, distillation, or other parameter-efficient and size-reduction techniques as needed.
Create model packaging that supports selecting and downloading language-specific weights on demand based on operator context (for example, pulling only Chinese ASR weights for a Chinese-speaking interview).
Build model behavior and evaluation around when to transcribe a borrowed English term as-is versus rendering it via transliteration or a native equivalent in the source language.
Develop reproducible evaluation pipelines that measure word/character error rate, latency, and robustness to factors including accent, noise, speaking rate, and code-switching, and report results against defined success criteria per language and deployment target.
Write clear model cards, dataset documentation, and evaluation write-ups so both technical and non-technical stakeholders can understand model purpose, comparisons, and known risks and limitations.

Requirements

Bachelor’s degree in Computer Science, Data Science, Machine Learning, Computational Linguistics, or a closely related field.
Strong data-engineering experience building production pipelines for large, messy, or unstructured audio and text datasets.
Hands-on experience fine-tuning or adapting speech/audio models using parameter-efficient methods (LoRA, QLoRA, adapters) and/or compression techniques (quantization, distillation, pruning) for constrained hardware.
Practical experience developing and evaluating ASR/speech-to-text models across multiple languages, including error analysis under real-world conditions such as accents, noise, and code-switching.
Strong Python and SQL skills, with experience using tools such as PyTorch, Hugging Face Transformers/PEFT, torchaudio, and librosa.
Experience deploying and monitoring production ML systems, including secure handling of sensitive audio, transcripts, and derived data in a regulated environment.
Ability to explain model behavior, tradeoffs, and limitations to both technical and non-technical stakeholders.

Technologies

Python, SQL, PyTorch
Hugging Face Transformers, PEFT
torchaudio, librosa
LoRA, QLoRA, quantization, distillation, pruning
iPhone, iOS, Swift, AVFoundation

Role scope

This position owns the speech-to-text model: its data, training/adaptation, on-device size and latency, and transcription accuracy across languages.
It does not own iOS application development, translation (source-language-to-target-language), or the Swift/AVFoundation integration layer; those are handled by a separate mobile engineering function, with close collaboration.

Salary and location

USD 80,000 - 160,000 per yearly

Reston, VA (onsite)

Benefits

Generous and flexible time-off policy
Flexible work schedules and telework options, including remote work availability for eligible projects
Career development opportunities: mentorship program, Dev University technical and management training, hands-on learning through DevLab, tuition reimbursement, and paid training opportunities
Industry-leading benefits including a choice of two health plans with dental and vision, flexible spending account, commuter benefits, life insurance, and more
401K matching with a 5% matching contribution
Regular team and company social events including an annual party, happy hours, fitness challenges, and more
Community engagement support, including employer match for donations and time off for volunteer efforts

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1d ago

Applied AI Engineer II - Encore Program

Deloitte Hermitage, TN

Hermitage, TN

1d ago

$103k - $189k/yr Full time Backend Developer Agentic Ai Ai Engineer

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Job Description

Build high-visibility, end-to-end AI-powered products with Deloitte’s Encore Program in Hermitage, TN (onsite). This role emphasizes accountability for customer and business outcomes, cost-aware engineering, and technical leadership across the full product lifecycle, including applied GenAI and agentic capabilities delivered through full automation from discovery to production to operations.

What you’ll do

Drive a culture of accountability for customer and business outcomes, including the cost to achieve them.
Design and implement lean engineering solutions to solve complex problems with valuable outcomes, including ownership of inference, token, and cloud costs for what you build.
Act as a technical advocate for products by ensuring code integrity, feasibility, and alignment with business and customer goals.
Participate across the lifecycle: requirements analysis, component design, development, testing, integrations, and support.
Maintain accountability for code and design integrity, implementation fidelity to the architecture and tech stack, plus quality, data, and ongoing maintenance and operations.
Translate business and user needs, architectures, and UX/UI designs into technical specifications and code.
Create technical specifications and write high-quality, supportable, scalable code that meets or exceeds quality KPIs.
Use rapid, inexpensive experimentation to develop solutions that address customer needs.
Partner with customers and product teams before, during, and after delivery to help ensure the right solution ships at the right time.
Adopt an evidence-driven approach that favors action over extensive planning, navigating complexity and uncertainty with maintainable delivery.
Collaborate with empowered, cross-functional teams including product management, experience, and delivery, integrating diverse perspectives to balance feasibility, viability, usability, and value.
Contribute to and improve a modern AI and agentic SSDLC approach to enable daily deployments with full automation and quality checks across the SSDLC lifecycle.
Learn quickly and build domain knowledge relevant to the business or product, including coaching others through role-modeling.
Communicate complex technical concepts clearly, influence teams with evidence-backed trade-offs, and align technical work to business objectives.

Requirements

Bachelor’s degree in computer science, software engineering, data science, machine learning, or a related discipline (experience is the most relevant factor).
3+ years of experience with many of: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, and unit testing frameworks.
2+ years building AI/ML and agentic applications, including hands-on GenAI work with LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration.
2+ years cloud-native engineering experience using FaaS, PaaS, or micro-services on Azure, AWS, or GCP, including AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI, plus application-level infrastructure-as-code and cost-aware engineering with FinOps accountability.
Prior software engineering experience including Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentation, plus AI-augmented spec-driven development.
Experience with methodologies and tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (for example LangFuse, LangSmith, or equivalent multi-agent orchestration tools) to deliver high-quality products rapidly.
Ability to travel 10% on average.
Limited immigration sponsorship may be available.
Candidates must be located within a commutable distance to one of the select locations for this role.
Ability to work in the local office at least 3 days per week.

Team and culture

Deloitte’s US Technology Product Engineering has modernized product delivery with a scalable, cost-effective model focused on value and outcomes, using a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions across businesses, service lines, and internal operations, helping power Deloitte’s success with internal and go-to-market solutions delivered with excellence.

Location and compensation

Location: Hermitage, TN (onsite)

Salary range: USD 102,500 to USD 188,900 per year.

The wage range reflects a wide set of factors used to make compensation decisions. It is not typical for an individual to be hired at or near the top of the range; compensation depends on the facts and circumstances of each case.

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1d ago

AI Engineer

Transformativ, LLC Dallas-Fort Worth, TX

Dallas-Fort Worth, TX

1d ago

$75 - $100/hr Contract Agentic Ai Ai Engineer Artificial Intelligence

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Job Description

Transformativ, LLC is hiring an AI Engineer (contract) to design, build, and deploy production-ready enterprise AI systems spanning agentic AI, LLMs, and multi-agent orchestration.

Responsibilities

Design and deploy production-ready Agentic AI and multi-agent systems
Build enterprise AI applications in Python using platforms such as OpenAI, Anthropic, Google Gemini, Azure OpenAI, or similar
Develop AI workflows using orchestration frameworks including LangGraph, CrewAI, AutoGen, MCP, or comparable tools
Integrate AI solutions with REST APIs, databases, and enterprise systems such as Microsoft 365, ERP, and CRM
Partner with business leaders to convert operational challenges into practical AI solutions
Lead technical design discussions and mentor other engineers when appropriate
Evaluate emerging AI technologies and recommend approaches that fit real production needs

Requirements

Professional experience building production AI applications
Strong Python development skills
Hands-on experience with LLM APIs (OpenAI, Anthropic, Gemini, Azure OpenAI, etc.)
Experience with Agentic AI, autonomous agents, multi-agent systems, or AI orchestration
Experience integrating REST APIs, databases, and enterprise applications
Excellent communication skills with client-facing consulting experience
Ability to explain complex AI concepts to both technical and business audiences

Technologies

Python; OpenAI; Anthropic; Google Gemini; Azure OpenAI
LangGraph; CrewAI; AutoGen; MCP; Semantic Kernel
Microsoft 365; ERP; CRM
REST APIs; APIs; databases
AWS; Google Cloud; Azure
Machine Learning; Intelligent Automation; Autonomous multi-agent systems

Location

Dallas-Fort Worth, TX (hybrid)
Work location: Hybrid remote in McKinney, TX 75070
Dallas, TX preferred; remote considered for exceptional candidates

Job Type & Compensation

1099 Independent Contractor with Contract-to-Hire Opportunity
Pay range: $75.00–$100.00 per hour
Compensation: Competitive hourly rate based on experience

Preferred Experience

Experience with LangGraph, CrewAI, AutoGen, MCP, Semantic Kernel, or similar frameworks
Experience on cloud platforms including Azure, AWS, or Google Cloud
Background in healthcare, manufacturing, supply chain, finance, procurement, or private equity
Experience with AI governance, security, evaluation, and responsible AI practices
Technical leadership or consulting experience

Why Join Transformativ

Work on cutting-edge enterprise AI implementations
Collaborate directly with executives and enterprise clients
Opportunity for long-term leadership and growth
Flexible, high-impact consulting environment

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1d ago

AI Engineer

Transformativ, LLC McKinney, TX

McKinney, TX

1d ago

$75 - $100/hr Contract Agentic Ai AI Ai Engineer

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Job Description

Transformativ, LLC is seeking an AI Engineer to help design, build, and deploy agentic AI and multi-agent systems that support enterprise clients. This hybrid role in McKinney, TX centers on production-grade LLM solutions, orchestration, and practical integration with business platforms.

Location and Work Arrangement

Primary: Hybrid remote in McKinney, TX 75070
Additional: Dallas, TX (Preferred) | Remote considered for exceptional candidates
Job type: Contract
Work model: 1099 Independent Contractor with contract-to-hire opportunity

Role Summary

The AI Engineer will focus on agentic AI, large language models (LLMs), and multi-agent systems to build and deploy production-ready AI solutions for enterprise customers. The work includes architecting, implementing, and integrating AI workflows and applications using modern LLM and orchestration tools.

Responsibilities

Design and deploy production-ready Agentic AI and multi-agent systems
Build enterprise AI applications using Python and LLM platforms such as OpenAI, Anthropic, Google Gemini, Azure OpenAI, or similar services
Develop AI workflows with orchestration frameworks including LangGraph, CrewAI, AutoGen, MCP, or comparable tools
Integrate AI solutions with APIs, databases, Microsoft 365, ERP, CRM, and other enterprise systems
Collaborate with business leaders to translate operational challenges into AI solutions
Lead technical design discussions and mentor other engineers when appropriate
Evaluate emerging AI technologies and recommend practical approaches

Required Qualifications

Professional experience building production AI applications
Strong Python development skills
Hands-on experience with LLM APIs (OpenAI, Anthropic, Gemini, Azure OpenAI, etc.)
Experience with Agentic AI, autonomous agents, multi-agent systems, or AI orchestration
Experience integrating REST APIs, databases, and enterprise applications
Excellent communication and client-facing consulting skills
Ability to explain complex AI concepts to both technical and business audiences

Compensation

Pay: $75.00 - $100.00 per hour
Rate basis: Competitive hourly rate based on experience

Technologies

Work may involve Python, OpenAI, Anthropic, Google Gemini, Azure OpenAI, LangGraph, CrewAI, AutoGen, MCP, Semantic Kernel, REST APIs, Microsoft 365, ERP, CRM, Azure, AWS, and Google Cloud, along with LLMs, Generative AI, Agentic AI, Multi-Agent Systems, and AI automation.

About Transformativ, LLC

Transformativ is an AI-first consulting firm specializing in business transformation through Generative AI, Agentic AI, LLMs, intelligent automation, and autonomous multi-agent systems. The company partners with private equity firms and mid-market enterprises to redesign business processes, eliminate manual work, and deploy production-ready AI solutions that deliver measurable business value.

Preferred Experience

LangGraph, CrewAI, AutoGen, MCP, Semantic Kernel, or similar orchestration frameworks
Cloud platforms including Azure, AWS, or Google Cloud
Experience in healthcare, manufacturing, supply chain, finance, procurement, or private equity
AI governance, security, evaluation, and responsible AI practices
Technical leadership or consulting experience

Role Focus and Collaboration

This position is centered on building real-world AI systems that automate business processes using modern LLM capabilities, autonomous agents, and enterprise integrations. The AI Engineer works directly with executives and client teams to architect, build, and deploy AI solutions into production, supported by technical design leadership and collaboration.