Wood Wide AI is looking to bridge its core numeric intelligence engine with the rapidly evolving agentic ecosystem by designing and maintaining interfaces that connect their platform's embeddings and reasoning engine to LLM agents, orchestration frameworks, and Model Context Protocol (MCP)-based tools.
Requirements
- 1-3 years backend engineering experience (Python, FastAPI, Flask, or similar).
- Proven experience designing API-first microservices and integrating with AI or ML systems.
- Experienced in designing and managing scalable data pipelines and storage solutions using tools like Postgres, Redis, Kafka, and Airbyte.
- Experience with Docker, GitHub Actions, and cloud providers (e.g. GCP, AWS).
- Strong fundamentals in REST/gRPC design, authentication, and CI/CD.
- Familiarity with LLM tool-calling APIs, agentic orchestration frameworks, and MCP-based architectures.
- Experience with LangGraph, PydanticAI, MCP servers, or equivalent orchestration stacks.
Responsibilities
- Design and build core backend APIs using Python (FastAPI) to serve numeric intelligence functions like embedding generation, reasoning calls, and model inference endpoints.
- Integrate our engine with LLM agents and tool-calling interfaces (OpenAI, Anthropic, Gemini) to enable structured reasoning over numeric data.
- Develop microservices and a Model Context Protocol (MCP) server, exposing modular “tools” that agents can securely invoke to process tabular or time-series data.
- Orchestrate agentic workflows using frameworks such as Vercel AI SDK, LangGraph, PydanticAI, or custom planners, and evaluate trade-offs in performance and observability.
- Build and maintain a Python SDK with clean abstractions and developer-first ergonomics.
- Develop data connectors for major environments such as Databricks, Snowflake, Postgres, and S3/GCS.
- Implement auth, rate limiting, usage metering, and structured logging for reliable production operations.
Other
- Collaborate cross-functionally with ML and DX teammates to ensure seamless data flow and user experience.
- Clear communication, strong documentation, and collaborative mindset.
- Interested? Reach out! We value capability, curiosity, and drive above all.
