LLM Engineer

• Design, build, and ship production-grade Generative and Agentic AI applications and services for internal and external users
• Develop high-quality backend services in Python, with strong software engineering rigor around testing, performance, and maintainability
• Champion reusability and abstraction in everything you build by designing and building modular, well-abstracted components and libraries
• Build multi-agent systems using frameworks such as LangChain, LangGraph, Claude Agent SDK and Google ADK
• Integrate with leading LLM and foundation model APIs, including Azure OpenAI, Google Vertex AI, and AWS Bedrock
• Design and implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking strategies, embeddings, vector search, and re-ranking
• Build clean, well-tested RESTful and/or gRPC APIs with a strong focus on reliability, security, and performance
• Implement observability, tracing, evaluation, guardrails for Generative and Agentic AI applications
• Deploy and operate services on major cloud providers (e.g., GCP, AWS, and Azure) leveraging managed services
• Contribute to platform architecture decisions and engineering best practices
• Take applications from prototype through production deployment, hardening, and ongoing operation
• Mentor and coach junior and mid-level engineers through code reviews, architecture discussions, and pair programming
• Foster a culture of engineering excellence, knowledge sharing, and continuous improvement
• Participate in technical design reviews and contribute to the professional growth of team members

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Staff Generative AI Engineer