Gen AI Engineer
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.
