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python rag langchain gemini openai

πŸ“‹ Description

  • Design and deliver AI-powered advisors, assistants, and analytic agents.
  • Build production-grade Python services powering AI apps and backend services.
  • Apply and fine-tune foundation models (OpenAI, Gemini, Claude) for contextual AI.
  • Architect agentic AI systems coordinating reasoning, planning, and tool use.
  • Design and evolve RAG pipelines and knowledge-grounded approaches.
  • Develop prompting strategies and interaction patterns for reliability.

🎯 Requirements

  • 5+ years in applied AI, data science, or ML with hands-on generative AI.
  • Strong Python expertise for production data/AI services.
  • Experience with LLM APIs (OpenAI, Claude, Gemini).
  • Deep prompt engineering skills for complex, multi-step tasks.
  • Knowledge of agentic AI concepts: multi-agent coordination and planning.
  • Experience with RAG architectures and vector search.

🎁 Benefits

  • Salary: $175,000 to $195,000 annually.
  • Remote work with occasional in-person in Exton, PA.
  • Company pays a portion of health insurance premium.
  • 401(k) with company matching.
  • Training, professional development, and tuition reimbursement.
  • PTO, holidays, sick time, and floating holidays.
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