How Remoteville checks and expires listings
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 3+ years of professional Python with production service experience
- 1+ years of hands-on LLM production experience including prompt engineering tool calling structured outputs and RAG
- Working knowledge of LangChain LangGraph or a comparable agent framework
- Experience with LLM observability tools such as CloudWatch LangSmith Langfuse MLflow or OpenTelemetry
- Experience designing evaluation frameworks such as MLflow DeepEval LLM-as-judge or multi-turn regression
- Fluency with Git Docker and modern API frameworks
- Clear written communication and sound judgment for shipping software
- Bachelor's degree not required equivalent practical experience accepted
- Hands-on experience with Amazon Bedrock and/or AgentCore as a developer
- Experience with Snowflake Snowpark or Snowflake Cortex
- Fluency in writing and reading SQL and understanding semantic models
- Familiarity with multi-agent patterns such as supervisor router subagent handoff reflection and human-in-the-loop
- Comfort pushing back when adding an agent is not the right answer
- Experience in Loyalty MarTech AdTech or a comparable data-rich B2B domain
Nice to have
- Hands-on Bedrock experience
- AgentCore experience
- Snowflake experience
- SQL fluency
- Multi-agent mindset
- Domain familiarity in loyalty
Day to day
- Build and ship agent harnesses in Python using LangChain and LangGraph with tool calling structured outputs retries streaming and memory
- Package agents for Amazon AgentCore Runtime with the right context tools skills and subagents for production use
- Develop evaluation harnesses and reliability controls for real workflows including regression suites guardrails monitoring and remediation