AI Engineer - Agentic & Generative AI
Core
Build agentic AI workflows, RAG pipelines, and integrate LLMs for client engagements.
Role type
mid-level software engineer (agentic & generative AI)
Builds
agentic pipelines, RAG systems, LLM-integrated solutions
Domain
enterprise AI consulting, agentic automation, generative AI
Deliverable
production ML models
Required skills
Python, agentic AI frameworks (LangChain, LangGraph, AutoGen, CrewAI), LLM integration (OpenAI, Anthropic, Gemini), RAG pipelines, prompt engineering, SOLID principles, test-driven development, data analysis (numpy, pandas), visualization (Matplotlib, Seaborn, Plotly) (via careerplan.io/jobs/89-00A-87-E67-ai-engineer-agentic-generative-ai-at-spar-solutions)
Preferred skills
AI coding agents (Claude Code, Copilot), vector databases (Pinecone, Weaviate, ChromaDB, Qdrant), NLP fundamentals, conversational AI, cloud platforms (AWS, Azure, GCP)
Technologies
LangChain, LangGraph, AutoGen, CrewAI, OpenAI, Anthropic, Gemini, Python, numpy, pandas, Matplotlib, Seaborn, Plotly, VS Code, Git
Responsibilities
Build and integrate agentic AI workflows with tool use and memory; implement end-to-end RAG pipelines; integrate LLMs via API with prompt engineering; write clean, maintainable Python code following SOLID principles; perform exploratory data analysis and generate visual summaries
Seniority
Mid-level, hands-on IC
