Openai

Openai Engineer Jobs

67 jobs found

15d ago

AI Engineer II

McCarthy Holdings, Inc. Dallas, TX

Dallas, TX

15d ago

Full time Backend Developer Agentic Ai AI

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Job Description

McCarthy Holdings, Inc. is hiring a full-time AI Engineer II in Dallas, TX to design, build, and support AI-powered applications and workflows across the enterprise.

Responsibilities

Design, develop, test, and maintain AI-powered applications, services, and workflows for enterprise business processes.
Build and support generative AI and agentic solutions using modern AI engineering practices and frameworks.
Develop and maintain data pipelines, integrations, and reusable data products enabling AI and analytics use cases.
Contribute to data model and ontology design and evolution for operational and analytical workflows.
Develop and optimize prompts, retrieval strategies, and agent workflows to improve effectiveness, reliability, and user experience.
Use AI-assisted development tools and coding copilots to accelerate delivery while maintaining code quality, testing, security, and maintainability.
Participate in MLOps and PromptOps, including deployment, monitoring, evaluation, versioning, and continuous improvement of AI systems.
Collaborate with business and technical stakeholders to translate business requirements into practical technical solutions.
Support production AI solutions through troubleshooting, performance tuning, monitoring, and ongoing enhancement.
Contribute to documentation, reusable patterns, and engineering best practices to improve team consistency and effectiveness.
Follow established AI governance, security, and Responsible AI standards throughout the solution lifecycle.

Requirements

Minimum 3 years of experience in software engineering, AI engineering, machine learning, data engineering, or a related technical discipline.
Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field (or equivalent practical experience).
Experience building and deploying AI-enabled applications or machine learning solutions in production environments.
Strong programming skills in Python and experience with modern software engineering practices.
Experience with data pipelines, ETL/ELT processes, and API-based integrations.
SQL and relational data modeling experience.
Cloud platform experience: Azure, AWS, or GCP.
Familiarity with containerized and serverless deployment patterns.
Experience building solutions on enterprise AI and data platforms: Palantir Foundry, Azure AI, AWS, GCP, or Dataiku.
Generative AI platforms and frameworks: OpenAI, Anthropic, LangChain, LlamaIndex, Hugging Face, or similar technologies.
Prompt engineering, evaluation methodologies, and retrieval-augmented generation (RAG) patterns.

Position Summary

Full-time role on the Engineering and Intelligence team.
Hands-on engineering focused on implementation, experimentation, deployment, and continuous improvement of AI capabilities.
Work with the AI Manager, business stakeholders, and fellow engineers to deliver production-grade AI solutions, including generative AI, agentic workflows, advanced analytics, and enterprise integrations.
Strongly preferred experience working within Palantir Foundry, including ontology-driven development, data products, operational workflows, and AI-enabled solutions.

Strongly Preferred Palantir Foundry Experience

Ontology-driven application development
AIP and AI-enabled workflows
Data products and pipeline development
Workshop applications and operational workflows
Code repositories and software delivery within Foundry environments
Responsible AI concepts, including transparency, human oversight, security, and governance practices

Technologies

Python
Azure
AWS
GCP
Palantir Foundry
Azure AI
Dataiku
OpenAI
Anthropic
LangChain
LlamaIndex
Hugging Face

Location

Dallas, TX (onsite)

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19d ago

AI Engineer Co-Op

Audax Group Boston, MA

Boston, MA

19d ago

$30 - $34/hr Internship Artificial Intelligence Azure Cloud Platform

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Job Description

The AI Engineer Co-Op position supports the Business Solutions team at Audax Private Equity under the direction of the Director, AI Solutions Architect. The role focuses on delivering AI initiatives through development and governance support, coordinating with internal data teams, and contributing to proof-of-concepts and deployment efforts.

Role Overview

Working as part of the Business Solutions team, the Co-Op will assist with building and scaling an AI ecosystem, supporting AI infrastructure in the cloud enterprise environment, and contributing to use case exploration across firm function areas. The position is hybrid and based in Boston, MA.

Key Responsibilities

Assist with designing, implementing, maintaining, and scaling Audax’s AI ecosystem.
Coordinate with internal IT professionals to scale AI infrastructure within the company’s cloud enterprise environment.
Contribute to proof-of-concept development for function area use cases within the firm.
Support implementation of AI governance policies, including security, documentation, and privacy.
Provide data validation and data quality assessments in coordination with internal data engineers.
Write code in an IDE environment (VS Code) using Python, SQL, and Git.
Use cloud environment services to support AI application development and deployment.
Experiment with modern AI architectures to support experimentation and use case development.
Coordinate across firm function areas to gather information, provide updates, and support user testing.

Required Qualifications

Currently pursuing a Bachelor’s or Master’s degree in Data Science, Data Engineering, Data Analytics, Computational Engineering, Computer Science, or a related field.
Experience with at least two of the following: traditional machine learning, natural language processing, transfer learning/fine-tuning, predictive analytics, agentic frameworks, AI output evaluation, and data engineering.
Strong written and oral communication skills, along with critical thinking skills for working effectively with all levels of the organization.
Previous Co-Op or full-time experience in a related field is a plus.

Technologies

Python
SQL
Git
VS Code
Microsoft Azure
GitHub
Microsoft Office suite
OpenAI (SDKs, tools, CustomGPTs)
Snowflake

Compensation

For Massachusetts, the hourly range for this position is $30.00-$34.00.

Co-Op Schedule

Cycle: January to June 2027

Anticipated dates: January 4 to June 25, 2027 (dates are flexible based on school requirements)

Work Location and Travel

Location: Boston, MA
Office requirements: 3-4 days in office
Travel: No regular travel required

Benefits

Health insurance
Life insurance
Disability insurance
Paid time off (including sick leave, parental leave, volunteer leave, and vacation)
Charitable donation match
Family support services (including Bright Horizons and Benefit Advocate Center)
401(k)
Annual discretionary incentive compensation based on performance

Education

Bachelor’s or Master’s degree

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20d ago

AI engineer

Robotics Technologies LLC Atlanta, GA

Atlanta, GA

20d ago

Full time Ai Engineer Artificial Intelligence CI/CD

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Job Description

Join Robotics Technologies LLC in Atlanta, GA onsite as a Senior AI/ML engineer working across model development, deployment, and production optimization.

Key Responsibilities

Design, build, train, and deploy ML and AI models for real-world applications
Own end-to-end ML pipelines: data ingestion, feature engineering, training, validation, and deployment
Implement Generative AI solutions using LLMs such as OpenAI, Claude, Gemini, and LLaMA
Build and optimize NLP systems for chatbots, conversational AI, summarization, and information retrieval
Apply prompt engineering, RAG (Retrieval Augmented Generation), and vector databases
Fine-tune transformer models and evaluate model performance
Deploy models using MLOps best practices, including CI/CD, monitoring, and retraining
Collaborate with data engineers to support large-scale structured and unstructured data workflows
Optimize model performance, scalability, and inference latency
Mentor junior engineers and contribute to architectural decisions
Support ethical AI, data privacy, and model governance standards

Required Technologies

OpenAI, Claude, Gemini, LLaMA
LLMs, NLP, RAG (Retrieval Augmented Generation)
Vector databases, transformer models
MLOps, CI/CD, monitoring, retraining

Job Details

Location: Atlanta, GA (onsite)
Duration: 12 Months + Extension
Rate: Depending on Experience (DOE)
Job ID: J53124
Client: To Be Discussed Later

Employment Type

W-2
1099
C2C

Work Authorization

US Citizen
Green Card
OPT-EAD
CPT
H-1B
H4-EAD
L2-EAD
GC-EAD

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20d ago

AI Engineer

Tiny Health Texas 🇺🇸 Remote

Texas

20d ago

Full time Backend Developer Ai Engineering Ai Ml

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Job Description

Build and deploy production AI that supports both consumer and clinician-facing experiences.

Responsibilities

Design, develop, and maintain production-grade AI systems and APIs that power company products
Integrate and fine-tune machine learning models including LLMs, embeddings, and other ML architectures for internal and customer use cases
Own the end-to-end lifecycle for AI features: research and prototyping through productionization, deployment, and ongoing monitoring
Partner with engineering, product, and science teams to scope and ship AI-driven features
Create data pipelines, retrieval systems, and scalable infrastructure for inference and model serving
Deliver reliable AI performance in production by focusing on observability, monitoring, and reliability
(Depending on experience) Lead AI initiatives, influence architecture and system design decisions, and mentor other engineers

Requirements

Proven experience building and deploying AI/ML systems in production at scale (not limited to prototypes or demos)
Strong understanding of model integration workflows, including inference pipelines, prompt engineering, fine-tuning, and RAG setups
Backend engineering experience with Python or Node.js preferred
Experience designing AI architectures such as hybrid retrieval systems, multi-model orchestration, or embeddings-based approaches
Hands-on experience with AWS cloud infrastructure and data pipelines
Solid API development and system architecture skills for scalable applications
Comfort working independently and driving execution in a startup environment
Experience integrating LLMs into production products (including OpenAI, Anthropic, and Vertex AI)
Familiarity with vector databases: Pinecone, Weaviate, FAISS, Chroma
Experience with observability, monitoring, and evaluation for AI systems
Experience leading projects and/or mentoring engineers
Prior experience in healthtech or biotech, or experience working with sensitive health data

Technologies

Python, Node.js
LLMs, embeddings
AWS
API development
Prompt engineering, fine-tuning, RAG
OpenAI, Anthropic, Vertex AI
Pinecone, Weaviate, FAISS, Chroma

How we work

Remote-first: core hours overlap from 9am–6pm CST, with shifts up to two hours either way; FTEs based in North America
Written-first communication: default to clear Slack posts; huddle when a thread stalls; meet only to make a real decision
Fast execution with quality focus: prioritize shipping correctly rather than “speed” that creates rework
Expect ownership over outcomes: no playbook waiting; write it as you go
Day One mentality with fewer titles and layers; process used as a guardrail where it counts
Transparent operations: numbers, misses, and feedback shared openly and in real time
Venture-paced environment with intensity in spikes and protected flexibility

Values

Learn Fast, Get Better: find root cause and improve continuously
Be Relentlessly Resourceful: move fast, dig for answers, know when to ask for help
Act Like an Owner, Be Hungry to Win: act like it is your company
Act with Honesty and Empathy: share what’s true with care
Delight People by Anticipating Their Needs: solve the immediate problem and improve ahead of time

Location: Texas (remote)

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20d ago

AI Engineer

Inabia Software & Consulting Inc. Grand Prairie, TX

Grand Prairie, TX

20d ago

$135k - $149k/yr Full time AI Artificial Intelligence Data Pipeline

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Job Description

Onsite role in Grand Prairie, TX (Mon to Thu) building enterprise LLM/AI and RAG solutions. Inabia Software & Consulting Inc. offers medical, dental, and vision coverage with strong employee contributions, paid time off, paid holidays, and a 401K enrollment structure, along with relocation assistance and a compensation package that includes base salary plus bonus components.

Location: Grand Prairie, Texas 75050
Work model: Onsite (4 days a week, work from office Mon to Thu)
Employment: Fulltime Employee
Interview process: 3 to 4 interviews (Virtual)
Tentative start: ASAP
Relocation assistance: Provided (per note)

What You’ll Do

Architect RAG pipelines and integrate generative AI into enterprise cloud environments using Hugging Face, LangChain, and the Open AI API.
Translate complex model outputs into clear, actionable recommendations for operations and executive stakeholders.

What You Bring

AI Engineer with 5+ years of experience required (no stated limit for the right candidate).
Hands-on LLM/AI experience with Hugging Face, LangChain, and the Open AI API.
Experience architecting RAG pipelines using Hugging Face, LangChain, and the Open AI API for enterprise cloud integration.
Strong communication skills to convert complex model results into decision-ready guidance for operations and leadership.
Technical foundation including Python, R, SQL, and LLM/AI and RAG pipelines.

Technologies

Python, R, SQL
Hugging Face, LangChain, Open AI API
RAG pipelines

Good to Have

2-4 years working in the manufacturing domain.
Experience with shop floor operations, production planning, and systems such as MES, SCADA, and ERP.
Proficiency with industrial protocols such as OPC-UA, MQTT, and Modbus, with the ability to bridge OT/IT systems for real-time data extraction.
Applied experience using OEE, Six Sigma, SPC, and lean methodologies to improve yield, uptime, and efficiency.

Compensation and Benefits

Salary range: USD 135,000 - 148,500 per year.

Compensation details: USD $148,500 Gross (USD $135,000 Base salary + 5% Organizational bonus + 5% Performance Bonus) + Benefits. Compensation is negotiable for the right candidate.

Medical Coverage, Dental and Vision
100% Nagarro contribution for the employee; 80% contribution for immediate dependents.
Paid Time Off (PTO): 15 days
Paid holidays: 10 total (8 fixed holidays and 2 floating holidays)
401K enrollment: 100% employee contribution (no matching contribution)

Must have skills include: 5+ years of AI Engineer experience, Hugging Face, LangChain, Open AI API, RAG pipelines, and strong communication to deliver actionable insights to operations and executives.

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30d ago

AI/Machine Learning Engineer - Python - Loops

IFS Palo Alto, CA

Palo Alto, CA

30d ago Closed

$110k - $120k/yr Full time Backend Developer Python AI

This position is no longer accepting applications (closed Sep 13, 2026).

Job Description

Build and optimize backend AI/ML capabilities for intelligent agent workflows as a Python-focused engineer working onsite in Palo Alto.

Responsibilities

Design, build, and maintain Python-based services, integrations, and data pipelines that enable AI agent functionality
Create reusable libraries, APIs, and frameworks that speed up AI-driven product development
Maintain engineering quality through testing, CI/CD, and performance monitoring to improve reliability and scalability
Implement and optimize AI workflows using LLMs, embeddings, RAG systems, and vector databases
Integrate AI/ML tooling and external services, including examples like OpenAI, Hugging Face, LangChain, Pinecone, and Weaviate
Run experiments with prompt engineering and fine-tuning to enhance deployed agent reliability and performance
Work with product and core engineering teams to translate requirements into technical solutions
Support architecture decisions and contribute to internal technical documentation
Assist with deployment of agents into enterprise environments, with emphasis on stability, accuracy, and scale

Requirements

2–5 years of professional experience as a Python Engineer / Backend Engineer (AI/ML experience is a strong plus)
Strong proficiency in Python and familiarity with JavaScript/TypeScript for integrations
Hands-on knowledge of AI/ML frameworks and tools, including OpenAI, Hugging Face, LangChain, vector databases, and RAG
Understanding of system integration patterns and comfort working with RESTful APIs, JSON, and data pipelines
Experience with enterprise systems (CRM, ERP, Helpdesk, Developer platforms, HR/Finance systems) is a plus
Strong debugging, testing, and optimization skills
Ability to write clean, maintainable, and well-documented code

Technology

Python
JavaScript, TypeScript
OpenAI
Hugging Face
LangChain
Vector databases
RAG systems
Pinecone, Weaviate
RESTful APIs, JSON
CI/CD

Salary

USD 110,000 - 120,000 per year
Plus bonus potential

What Success Looks Like (3–6 Months)

Build confidence in the internal platform, including integrations and Python services
Deliver backend components that integrate AI/ML capabilities into enterprise workflows
Contribute to reusable libraries, deployment pipelines, and system reliability practices
Collaborate with other engineers and product teams and influence technical direction

Benefits

Flexible paid time off, including sick and holiday
Medical, dental, and vision insurance
401K with Company contribution
Flexible spending accounts
Life insurance and disability benefits
Tuition assistance
Community involvement and volunteering events

Additional Information

M/F/Disabled/Vet VEVRAA Federal Contractor
Drug-Free Workplace
Apply at: www.ifs.com/about/careers-at-ifs
Equal opportunity employer; consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status

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1mo ago

Sr AI Engineer - Data

MeridianLink Remote 🇺🇸 Remote

Remote

1mo ago Closed

$126k - $215k/yr Full time Backend Developer Artificial Intelligence Data

This position is no longer accepting applications (closed Sep 8, 2026).

Job Description

MeridianLink builds financial products for credit unions, and this role helps deliver data-heavy capabilities that run in production. This position is US remote and includes a compensation range of $126,000 to $214,900 per year. You will work within Research & Development while leveraging AI agents as part of the engineering workflow, with engineers setting direction and reviewing output as they own what ships.

Benefits

Insurance coverage (medical, dental, vision, life, and disability)
Flexible paid time off
Paid holidays
401(k) plan with company match
Remote work

How you will work

AI agents are integrated into the team’s day-to-day engineering process. The agents support meaningful implementation work, while engineers review and own the code that goes into production. You will also use and improve the agents to help shape what comes next.

Responsibilities

Own data-heavy features from design through production, planning pragmatic solutions as traffic and data volume grow
Improve data models, pipelines, migrations, and multi-tenant systems
Build in a TypeScript monorepo using Hono and Drizzle/Postgres, with serverless AWS infrastructure managed with SST/Pulumi across Lambda, SQS, EventBridge, and S3
Monitor production systems, investigate issues, and fix root causes
Support the team in making clear, practical technical decisions

Requirements

5+ years building, scaling, and running production software
Strong backend engineering skills in a typed language, including experience integrating third-party and public APIs such as OpenAI or Anthropic Claude
Experience with relational data modeling, migrations, and production data systems
Sound judgment when working with sensitive data and high-impact changes
Current, hands-on experience using AI coding tools and reviewing their output
Clear written communication, product sense, and comfort owning work end to end
Experience with TypeScript, Postgres, serverless AWS, or event-driven systems is useful (exact framework overlap not required)