Summary
TechTorch builds and deploys production-grade AI agents that automate complex business workflows. The AI Developer will design, implement, test, and deploy agentic systems, integrate models and external systems, and work with clients to deliver reliable AI products with measurable business value.
Responsibilities
- Design and implement multi-step AI agents and orchestration workflows in Python
- Build using LangGraph, LangChain, n8n, AWS Bedrock, and similar tools
- Integrate and evaluate top models (Gemini, GPT, Claude, etc.)
- Connect agents to real systems (APIs, SaaS apps, webhooks, queues, events)
- Implement memory, retrieval, and planning for reliable agent behavior
- Take prototypes to production — with CI/CD, containers, and cloud deployment
- Build internal SDKs and reusable agent templates to speed up delivery
- Instrument everything — logging, tracing, guardrails, evaluation
- Work directly with clients to capture requirements, run experiments, and iterate fast
- Apply best practices for security, privacy, and safety in all deployments
- You own your outcomes — from idea to deployment
- You’re proactive, adaptable, and thrive in fast-changing environments
- You like moving fast, but never at the cost of quality
- You communicate clearly and love solving problems collaboratively
Skills
- • 3+ years of hands-on experience building and shipping AI agents or complex automations
- • Strong Python skills (async, testing, packaging)
- • Experience with LangGraph or LangChain , plus orchestration tools (n8n, Bedrock, Airflow, Prefect, Temporal, etc.)
- • Familiarity with OpenAI , Gemini , Claude , or similar model ecosystems
- • Solid data foundations : embeddings, RAG, chunking, indexing
- • Software engineering fundamentals: Git, CI/CD, Docker, AWS
- • You own your outcomes — from idea to deployment
- • You're proactive, adaptable, and thrive in fast-changing environments
- • You like moving fast, but never at the cost of quality
- • You communicate clearly and love solving problems collaboratively
- Bonus: TypeScript , FastAPI, Node.js, Supabase, or observability tools (Langfuse, W&B, OpenTelemetry)
Qualifications
Must Haves
- • 3+ years of hands-on experience building and shipping AI agents or complex automations
- • Strong Python skills (async, testing, packaging)
- • Experience with LangGraph or LangChain , plus orchestration tools (n8n, Bedrock, Airflow, Prefect, Temporal, etc.)
- • Familiarity with OpenAI , Gemini , Claude , or similar model ecosystems
- • Solid data foundations : embeddings, RAG, chunking, indexing
- • Software engineering fundamentals: Git, CI/CD, Docker, AWS
- • You own your outcomes — from idea to deployment
- • You're proactive, adaptable, and thrive in fast-changing environments
- • You like moving fast, but never at the cost of quality
- • You communicate clearly and love solving problems collaboratively
Nice to Haves
- Bonus: TypeScript , FastAPI, Node.js, Supabase, or observability tools (Langfuse, W&B, OpenTelemetry)
Benefits
- Work on real, high-impact AI systems — not just demos
- Exposure to Fortune 500 and private equity clients
- Remote-first and flexible — we care about results, not hours
- Career growth, certifications, and access to leading AI tech