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GenAI Engineer

Technocraft Solutions

 

United States

Posted On: 7 days ago
Experience: 5+ years
Availability: Remote
Openings: 1
Category: GenAI Engineer
Tenure: Contract - Corp-to-Corp
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Description

Key Responsibilities

  • Design and develop scalable backend and GenAI applications using Python, FastAPI, and FastMCP.
  • Build and integrate solutions leveraging LLMs such as OpenAI GPT and Anthropic Claude.
  • Develop AI agents, plugins, skills, and MCP-based services.
  • Design and implement RAG pipelines, vector search, prompt engineering, and LLM orchestration.
  • Develop production-grade APIs and end-to-end GenAI applications.
  • Own solutions across the complete lifecycle, including:
    • Development
    • Deployment
    • Monitoring
    • Observability
    • Diagnostics
  • Use AI-assisted development tools such as Claude, Codex, and VS Code to accelerate coding, debugging, testing, and delivery.
  • Collaborate with technical and business stakeholders to deliver scalable AI solutions.

Required Skills

  • Strong hands-on experience with Python.
  • Strong experience with FastAPI.
  • Hands-on experience with FastMCP / Model Context Protocol (MCP).
  • Proven experience developing Generative AI solutions.
  • Experience integrating LLMs, particularly:
    • OpenAI GPT
    • Anthropic Claude
  • Hands-on experience building AI Agents.
  • Experience developing MCP servers/services.
  • Strong understanding of RAG (Retrieval-Augmented Generation).
  • Experience with prompt engineering.
  • Experience with vector databases / vector search.
  • Experience building scalable, production-grade APIs and backend applications.
  • Ability to use AI-assisted development tools such as Claude, Codex, and VS Code.

Nice-to-Have Skills

  • Experience with Pinecone, Milvus, or similar vector databases.
  • Experience with LangChain or other LLM orchestration frameworks.
  • Knowledge of advanced agentic AI architectures.
  • Experience with multi-agent workflows.
  • Knowledge of LLM observability and diagnostics.
  • Experience with GenAI evaluation frameworks.
  • Experience with production monitoring of GenAI applications.
  • Strong communication and customer-facing skills.
  • Positive attitude and strong customer-service orientation

Education

Bachelor's degree

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