Senior Engineer Python, AI & Integration
Employment Info
JOB DETAILS
Requirements
- Python proficiency: Strong, demonstrable Python skills with a focus on backend development and building production-grade tooling.
- API Integration Experience: Solid experience designing and consuming REST APIs, with a good understanding of integration patterns and system-to-system communication.
- FastAPI and Pydantic: Hands-on experience with FastAPI and Pydantic, or a strong familiarity with similar patterns and a clear ability to get up to speed quickly.
- AI Agent Tooling: Exposure to building tools or integrations for AI or LLM-based systems is a strong advantage, though not strictly required.
- Independent Working Style: Proven ability to work effectively in distributed, cross-functional teams and to deliver with a degree of autonomy when direction is broad.
Responsibilities
- Integration Library Development: Designing and building a library of Python-based functions that serve as tools for AI agents, enabling them to fetch and act on data from internal systems.
- Backend Logic and System Integration: Building the backend logic and system handshakes that connect AI agents to a range of internal APIs and data sources.
- API Design and Implementation: Working with FastAPI-style patterns and Pydantic models to develop clean, well-structured integration tooling that moves away from legacy Salesforce-centric approaches.
- Collaborative Engineering: Working closely with a cross-functional team including data scientists, backend engineers, designers, and business analysts to align on technical direction and delivery priorities.
- Technical Problem Solving: Operating effectively under vague or evolving direction, bringing clarity and structure to integration challenges as the team scales its AI capabilities.
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