Related skills
python rag langchain langgraph openai📋 Description
- Design and implement production-grade AI systems and multi-agent platforms.
- Build agentic workflows with CrewAI, AutoGen, LangChain, LangGraph.
- Develop and maintain RAG pipelines for enterprise knowledge bases.
- Lead AI initiatives with stakeholders to solve business problems.
- Ensure secure, scalable AI production aligned with enterprise standards.
🎯 Requirements
- 5-8 years of professional software engineering; 2+ years focused on production AI/ML.
- Deep expertise in Python; Java/C/C++ or R is a strong plus.
- Proven track record deploying production AI systems with LLMs (OpenAI, Claude, Gemini).
- Strong understanding of agents, RAG architectures, vector databases, and semantic search.
- Strong fundamentals in software engineering, testing, CI/CD, and system design.
- Excellent communication skills for engaging with senior leadership.
- Experience with agentic frameworks (CrewAI, AutoGen, LangGraph).
🎁 Benefits
- Salary range $123,000-$174,000 USD/year; potential bonus.
- Health, dental, vision insurance; 401(k); PTO.
- Hybrid/remote work options; flexible schedule.
- Equal opportunity employer.
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