About this role

Role: Gen AI Engineer

Location: Menlo Park, CA

Mode: Hybrid with 3 days’ work from office.

Candidate will need to appear in person interview in any of the locations NYC/ Alpharetta, GA or Menlo Park, CA.

Only W2 Tax Terms will work.

About the Role

We are seeking a Gen AI Engineer to build intelligent, scalable applications powered by large language models (LLMs). You will develop RAG solutions, AI agents, and Python-based services that solve real-world business problems while ensuring accuracy, reliability, security, and performance.

Key Responsibilities

Design, develop, and deploy LLM-powered applications using RAG architectures, embeddings, vector databases, and prompt engineering.
Build AI agents capable of reasoning, planning, tool usage, and multi-step task execution.
Create evaluation frameworks, guardrails, and monitoring processes to improve model quality and safety.
Integrate commercial and open-source LLMs with internal systems, APIs, and enterprise data.
Develop clean, maintainable Python code and production-ready services.
Collaborate with product, data, and engineering teams to translate requirements into effective AI solutions.
Troubleshoot, optimize, and continuously improve application performance.

Required Qualifications

Strong Python programming and software development skills.
Practical experience with LLMs, RAG pipelines, embeddings, vector stores, and prompt engineering.
Understanding of agent frameworks, function calling, APIs, and workflow orchestration.
Familiarity with REST APIs, databases, Git, testing, and cloud platforms.
Strong analytical, communication, and collaboration skills.

Desired Qualifications

Experience with LangChain, LlamaIndex, model evaluation, fine-tuning, and deployment workflows.

Nice-to-Have

Knowledge of MLOps, CI/CD, containerization, observability, and responsible AI practices.

Gen AI Engineer

Key skills

About this role