AI Developer

The role

You will design, implement, and deploy agentic systems and multi-step AI agents in Python. You will build using tools like LangGraph and LangChain to deliver production-grade AI products.

What you will do

• 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
• Connect agents to real systems
• 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
• Instrument logging, tracing, guardrails, and evaluation
• Work directly with clients to capture requirements, run experiments, and iterate fast
• Apply best practices for security, privacy, and safety in all deployments

Required qualifications

• 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

Nice to have

• TypeScript
• FastAPI
• Node.js
• Supabase
• observability tools (Langfuse, W&B, OpenTelemetry)

Benefits

• Work on real, high-impact AI systems
• Exposure to Fortune 500 and private equity clients
• Remote-first and flexible
• Fast recruitment process
• Career growth
• certifications
• access to leading AI tech

About the company

TechTorch builds the future of intelligent work by helping companies design, build, and deploy AI agents that automate complex workflows.