Your profile

Technical Expertise:

• 5+ years of professional Python development, with significant experience designing and operating production backend systems
• Deep knowledge of async frameworks (FastAPI or equivalent) and RESTful API design
• Strong data modeling skills—MongoDB or other document/NoSQL databases at scale
• Solid understanding of distributed systems patterns: queues, event-driven architectures, idempotency, graceful degradation

AI & Platform:

• Hands-on experience integrating and orchestrating LLM APIs (OpenAI, Anthropic, or similar) in production
• Familiarity with LangSmith, LangChain, or comparable orchestration/observability tooling
• Ability to reason about prompt engineering trade-offs, token economics, and model selection
• Up to date and clear on pros and cons of agent-assisted software developement

DevOps & Infrastructure:

• Production AWS experience (ECS, Lambda, S3, SQS, or similar services)
• Docker, CI/CD pipelines (GitHub Actions), infrastructure-as-code
• Hands-on with monitoring, logging, and alerting—you've been on-call and know what matters when things break

How You Work:

• You think in systems, not just features—anticipating failure modes and scaling bottlenecks before they hit
• You make pragmatic trade-offs between moving fast and building for durability
• You communicate technical decisions clearly, both in writing and in conversation
• You've operated in environments where you had to define process, not just follow it
• You love to deploy as often as you can and to test in production
• Experience in early-stage or high-growth startups is a strong plus. You excel at taking ownership, handling ambiguity, and understand that sometimes you have to throw away your own code.