Agentic AI Engineer

We're looking for an engineer who builds autonomous AI systems that reason, plan, and execute in production environments. You'll design multi-agent architectures, orchestration pipelines, and tool-use frameworks that power our enterprise AI solutions.

This is not a research role — this is a production engineering role where your agents run 24/7 in enterprise environments.

• Design and build multi-agent systems using frameworks like Lang Graph, CrewAI, or custom orchestration.
• Implement tool-use, function calling, and agentic workflows that operate reliably in production.

• Work with models from Anthropic, OpenAI, and open-source (Llama, Qwen, Mistral).
• Optimize prompts, manage context windows, implement RAG pipelines, and fine-tune models for domain-specific tasks.

• Build agents that run 24/7 in enterprise environments with proper error handling, fallback strategies, human-in-the-loop controls, and observability.
• Deploy on AWS (Bedrock, Sage Maker, ECS).

• Design eval frameworks to measure agent quality, accuracy, and safety.
• Build automated testing for agentic workflows including regression testing and red‑teaming.

• Implement guardrails, output validation, and audit logging for AI agents operating in regulated industries.
• Self-directed builder who ships without hand-holding.
• Strong Python skills with deep understanding of async patterns and systems design.
• Understands LLM internals (not just API wrappers) — tokenization, attention, context management.
• Production-minded: thinks about reliability, observability, and failure modes from day one.
• Comfortable with ambiguity and evolving requirements.

• 3+ years building with LLMs in production environments.
• Experience with agentic frameworks (Lang Graph, CrewAI, Auto Gen, or custom).
• Strong Python and systems programming skills.
• Familiarity with AWS AI services (Bedrock, Sage Maker, ECS).
• Understanding of prompt engineering, RAG architectures, and retrieval systems.

Outcome-driven

Enterprise-first

Agentic by design

Systems that reason and act safely

Small teams, high ownership

Autonomy with accountability

• Work on real, production AI deployments
• Enterprise-scale challenges and measurable impact
• Cross-functional collaboration and high ownership
• Flexible work setup where applicable

We value clarity, ownership, and thoughtful execution over buzzwords.