Added
15 days ago
Type
Full time
Salary
Salary not provided

Related skills

node.js python go typescript prompt engineering

πŸ“‹ Description

  • Design multi-step reasoning pipelines and wire them to business systems.
  • Develop tool-augmented AI agents with scale, safety, and maintainability.
  • Own agent development lifecycle from scoping to monitoring and tuning.
  • Collaborate on agent design, data integration, and LLM orchestration.
  • Build conversational agents that solve real problems and comply with policies.

🎯 Requirements

  • Excellent communication and collaboration skills. English B2 Advanced or C1
  • 5+ years of software engineering in production (TypeScript/Node, Go, or Python) with strong API
  • Hands-on LLM experience (GPT, Claude, Gemini, or fine-tuned OSS): prompt engineering, function/tool
  • Retrieval-Augmented Generation (RAG): embedding pipelines and semantic search (Pinecone, Weaviate
  • Agent orchestration: LangChain/LangGraph, OpenAI Agents SDK, CrewAI or equivalent
  • ML-/DevOps literacy: containerization, CI/CD, GPU/AI infra, caching, automated evals for

🎁 Benefits

  • Real-time/voice agent delivery (e.g., SSE or WebSockets) - Nice-to-have
  • Familiarity with multi-agent protocols (MCP, A2A) or supervisor/critique agent patterns -
  • Domain experience in e-commerce, fintech, telecom, or large-scale customer support - Nice-to-have
  • Prior work with automated prompt/agent regression testing frameworks - Nice-to-have
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