AI Developer

You will design, implement, and deploy production-grade agentic systems that deliver measurable business value. This is a "Get Stuff Done" role where you will build multi-step AI agents, orchestrate complex workflows, and integrate top-tier models (Gemini, GPT, Claude) into real-world systems. You are responsible for the entire lifecycle: from capturing client requirements to implementing memory, RAG, and guardrails, all the way to cloud deployment. Details • Location: Remote-first  • Focus: Production AI Products • Client Base: Fortune 500 & Private Equity. Responsibilities • Agent Architecture: Designing multi-step AI agents and orchestration workflows using Python. • System Integration: Connecting agents to APIs, SaaS applications, webhooks, and event queues. • Production Readiness: Taking prototypes to production using CI/CD, Docker, and AWS. • Internal Tooling: Building reusable SDKs and agent templates to accelerate delivery. • Observability & Safety: Implementing logging, tracing, and guardrails to ensure reliable and secure agent behavior. • Client Collaboration: Working directly with stakeholders to run experiments and iterate on AI solutions. Requirements • Experience: 2+ years of hands-on experience shipping AI agents or complex automations. • Core Skills: Expert-level Python (async, testing, packaging). • Orchestration Stack: Proficiency with LangGraph or LangChain, plus tools like n8n, AWS Bedrock, Airflow, or Temporal. • Data Foundations: Strong understanding of embeddings, RAG, chunking, and indexing. • Engineering Fundamentals: Git, CI/CD, Docker, and AWS. • Bonus Skills: TypeScript, FastAPI, Node.js, Supabase, or observability tools like Langfuse or OpenTelemetry. How You Work • Ownership: You take accountability for results from idea to deployment. • Agility: You thrive in fast-changing environments and prioritize speed without sacrificing quality. • Collaboration: You communicate clearly and enjoy solving problems in a "We, Not Me" culture.