7+ years building and running production systems; hands on production experience is required, demo only or POC only backgrounds will not be considered
Production experience with RAG systems and LLM based agentic workflows that are live and running, not prototypes
Backend development experience with Flask, Django REST, or FastAPI
Recent, hands on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered
Experience with LLM APIs (OpenAI, Anthropic Claude, or AWS Bedrock)
Strong Python proficiency: OOP, design patterns, clean architecture, and performance optimization
Demonstrated experience making and defending system design and architectural trade off decisions
Comfortable owning direct communication with client stakeholders, without a project manager relaying the conversation
Genuine willingness to spend time close to the people who do the job before you design a system to change it, and comfort with an engagement that starts underspecified by design
Strong testing practices: pytest, mocking, and integration tests for AI systems
Experience with Docker and Kubernetes
Understanding of LLM evaluation techniques and quality assurance approaches
Experience deploying and maintaining AI/ML models in production environments
Already using AI assisted development tools in your daily workflow (Claude Code, Copilot, or similar)
Proactive and self directed; you own outcomes end to end and spot problems before they are handed to you
B2+ English, comfortable collaborating across distributed, multicultural teams
