Ai Engineer Jobs

About The Position

Requirements

• 5+ years of professional backend software engineering experience, with real depth in Python
• Strong experience with Django or a comparable web framework, and comfort working across a full stack when needed
• Experience building data pipelines: ingestion, transformation, and reliable processing at scale
• Familiarity with LLM tool-calling patterns, MCP, or similar agent-orchestration concepts, with genuine excitement about going deeper here
• Strong systems thinking. You reason naturally about failure modes, retries, idempotency, and data consistency
• A track record of finding good patterns in ambiguous, fast-moving technical spaces
• Excellent written communication. You can document a design decision clearly enough that someone else can pick it up and run

Nice To Haves

• Experience with async Python (asyncio, FastAPI, or similar) for streaming or long-running agent workloads
• Prior experience at an early or growth-stage startup
• Exposure to vector databases, embeddings, or RAG architectures
• Experience with AWS infrastructure (RDS, Redis, or similar)

Responsibilities

• Design and build MCP tool integrations connecting our platform to model providers and external systems
• Architect data pipelines that ingest, structure, and process AI agent outputs at scale
• Build and maintain core platform features in Django and Python, alongside the agentic work
• Make sound tradeoffs between build speed and long-term maintainability, and be able to defend those calls
• Partner with our CTO on technical architecture for the agentic roadmap
• Set technical standards for agentic development that other engineers can follow as the team grows
• Debug and harden systems in production, since agent behavior surfaces failure modes that traditional software doesn't

Benefits

• Base salary: $145,000 - $165,000, commensurate with experience
• Meaningful equity in an early-stage, venture-backed company
• Health, dental, and vision coverage
• Unlimited PTO