Gen AI Engineer — Menlo Park, CA

Location: Menlo Park, CA

Mode: Hybrid with 3 days’ work from office.

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.