Related skills
python prompt engineering langchain langgraph geminiπ Description
- On-site at client sites to diagnose inefficiencies and deliver AI solutions.
- Design, build, and deploy AI agents using LangChain, LangGraph, AutoGen.
- Create AI-powered workflows integrating with CRMs, ERPs, and cloud tools.
- Own the full delivery lifecycle from scoping to handoff and docs.
- Travel regularly to client sites (40-60%) to work with stakeholders.
- Communicate AI value to non-technical stakeholders.
π― Requirements
- Bachelor's degree in CS, Engineering, IS, or related field.
- 2+ years in software engineering, AI/ML, or tech consulting.
- Proficiency in Python; REST APIs; cloud services.
- Hands-on experience with LLM APIs (OpenAI, Anthropic, Gemini).
- Understanding of prompt engineering, RAG, and agentic workflows.
- Ability to work independently in ambiguous client environments; strong communication.
π Benefits
- Hybrid work model with Naperville office.
- Influence AI delivery frameworks and reusable playbooks.
- Travel to client sites as needed (40-60%).
- Inclusive, equal-opportunity culture.
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