AI Engineer

We are seeking anAI Engineer to design and deliver production-grade GenAI and agentic solutions that connect models, tools, and enterprise data to complete complex workflows. You will build reliable orchestration, RAG search capabilities, and evaluation/observability to improve quality and safety.

Responsibilities

• Design and productionize GenAI and agentic systems that orchestrate models, tools, data, state, and human input across multi-step workflows
• Develop agent orchestration patterns including planning, routing, structured outputs, workflow graphs, retries, error recovery, and human-in-the-loop controls
• Build RAG and enterprise search solutions using embeddings, vector databases, hybrid retrieval, metadata filtering, query transformation, reranking, grounding, and citations
• Create evaluation and test frameworks that measure task completion, groundedness, retrieval quality, tool-use accuracy, safety, robustness, and regression
• Implement observability for prompts, traces, retrieval, tool calls, token usage, cost, latency, failures, and user feedback to drive continuous improvement
• Develop production-grade Python and FastAPI services with automated tests, CI/CD, caching, fallbacks, and performance and cost optimization
• Apply Responsible AI and security practices including guardrails, content filtering, privacy controls, least-privilege access, auditability, and escalation paths
• Build reusable tools, APIs, and connectors with clear schemas, permissions, authentication, sandboxing, and least-privilege access
• Collaborate with product, engineering, and domain experts to define measurable outcomes, prototype solutions, and scale successful capabilities

Requirements

• 2+ years of experience delivering production-ready AI or GenAI solutions
• Hands-on agentic application experience with tool/function calling, routing, and structured outputs
• Solid leadership skills to collaborate with cross-functional partners and align on measurable outcomes
• Workflow delivery experience translating business needs into agentic workflows from prototype to scale
• Strong Python skills for production services, asynchronous workflows, and data handling
• API engineering skills with FastAPI, automated testing, and CI/CD practices
• Strong RAG and vector database skills including embeddings, hybrid retrieval, reranking, and citations
• Security and Responsible AI skills including guardrails, privacy controls, and prompt-injection defenses
• Strong problem-solving skills for reliability, error recovery, and performance optimization
• Upper-Intermediate English (B2) proficiency

Nice to have

• Amazon Web Services (AWS) experience with managed GenAI platforms such as Bedrock
• Data governance knowledge for permissions, auditability, and enterprise controls
• Gen AI assisted development practices for accelerating delivery with quality safeguards
• Machine learning engineering experience for model evaluation and deployment readiness
• Responsible AI experience with safety testing and governance processes