Senior Generative AI Engineer

Senior Generative AI Engineer Background We are looking for a Senior Generative AI Engineer to design, build, and ship production-grade Generative AI and Agentic AI applications that delivery business value across the organization. This role is focused on building AI applications and services at scale.

You will be responsible for building robust, secure, and highly scalable systems that integrate with leading cloud-based AI services. You will work alongside product managers, designers, and other engineers as an individual contributor.

You are expected to own features end-to-end, and to deliver high-quality, reusable code that scales beyond a single use case.

Key Responsibilities

Software Engineering and Execution Design, build, and ship production-grade Generative and Agentic AI features and applications Own features end-to-end from technical design through implementation, testing, deployment and operation Build reusable, well-abstracted components and shared utilities (e. g.

, RAG building blocks, agent scaffolding, evaluation harnesses, prompt utilities) to enable faster delivery of future Generative and Agentic AI products 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 Build 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 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 Participate actively in code reviews and design discussions, sharing knowledge with peers Required Qualifications 5-7 years of professional software engineering experience with at