Senior AI Engineer

We are seeking a Senior AI Engineer to design and productionize GenAI and agentic solutions that orchestrate models, tools, and enterprise data to solve complex, multi-step workflows. You will build reliable RAG, evaluation, and observability capabilities and deliver robust Python services.

Responsibilities

• Design and productionize GenAI and agentic systems that orchestrate models, tools, enterprise data, state and memory, and human input
• Develop agent orchestration patterns for planning, routing, tool calling, structured outputs, workflow graphs, handoffs, retries, and recovery
• Build reusable agent tools, APIs, and connectors with clear schemas, authentication, permissions, sandboxing, and least-privilege access
• Build and optimize RAG and enterprise search using embeddings, vector databases, hybrid retrieval, metadata filtering, reranking, grounding, and citations
• Create evaluation and test frameworks that measure task completion, groundedness, retrieval quality, tool-use accuracy, robustness, and end-to-end outcomes
• Implement observability for prompts, traces, retrieval, model behavior, token usage, cost, latency, failures, and user feedback to drive improvements
• Develop production-grade Python and FastAPI services with automated testing, CI/CD, load testing, caching, fallbacks, and performance optimization
• Apply Responsible AI and security practices including guardrails, content filtering, privacy controls, authorization, auditability, and escalation paths
• Collaborate with product, engineering, and domain partners to translate needs into measurable workflows, prototype quickly, and scale successful solutions

Requirements

• 3+ years experience delivering production-ready AI or GenAI solutions
• Senior-level ownership skills to lead technical decisions for agentic workflows
• Strong project execution skills to take prototypes to reliable production releases
• Advanced Python skills for production software engineering and data handling
• FastAPI development skills including async APIs, testing, and service design
• Agent orchestration skills with tool/function calling, structured outputs, state and memory, retries, and human-in-the-loop controls
• RAG engineering skills using embeddings, vector databases, hybrid retrieval, reranking, grounding, and citations
• Evaluation framework skills for LLM and agentic quality, safety, and regression testing
• Observability skills for prompts, traces, tool calls, retrieval, cost, latency, and failures
• Responsible AI and security skills including guardrails, prompt-injection defenses, and privacy controls
• Upper-Intermediate English skills (B2, Upper-Intermediate)

Nice to have

• Amazon Web Services skills including cloud-native deployment patterns
• Data governance skills for enterprise content and access controls
• Gen AI assisted development skills to accelerate delivery and maintain quality
• Machine learning engineering skills for model evaluation and system integration
• Responsible AI skills for safety, compliance, and risk management