Added
1 hour ago
Type
Full time
Salary
Salary not provided

Related skills

docker aws python rag langchain
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๐Ÿ“‹ Description

  • 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 โ€” with CI/CD, containers, and cloud deployment

๐ŸŽฏ Requirements

  • 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
  • Familiarity with OpenAI, Gemini, Claude, or similar model ecosystems
  • Solid data foundations: embeddings, RAG, chunking, indexing
  • Software engineering fundamentals: Git, CI/CD, Docker, AWS

๐ŸŽ Benefits

  • Work on real, high-impact AI systems โ€” not just demos
  • Exposure to Fortune 500 and private equity clients
  • Remote-first and flexible โ€” we care about results, not hours
  • Fast recruitment process โ€” we move as quickly as you do
  • Career growth, certifications, and access to leading AI tech
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