AI Engineer (GCP)
insight globalSacramento, CA
About the role
We're looking for a hands-on AI Engineer to join our Innovation team, where the mission is to prove out what's next — fast. You'll spend your time exploring emerging GenAI patterns, graph-driven architectures, and agentic workflows, translating fuzzy ideas into working proofs of concept that inform how the business adopts AI at scale. This is a builder's seat: you'll prototype, iterate, and demo — not maintain legacy pipelines.
What You'll Do:
- Design and ship rapid PoCs across GenAI use cases: RAG, agentic workflows, LLM orchestration, semantic search, and knowledge graphs.
- Apply graph theory and graph-based data structures (Neo4j, NetworkX, GraphRAG, LangGraph) to model relationships, enable multi-hop reasoning, and power retrieval systems.
- Build end-to-end AI pipelines integrating LLMs (OpenAI, Anthropic, Azure OpenAI, Hugging Face) with vector stores, embeddings, and enterprise data.
- Write clean, performant SQL to shape training/eval datasets and integrate structured data into GenAI workflows.
- Evaluate emerging tools and frameworks (LangChain, LangGraph, LlamaIndex, MCP, Pinecone, Weaviate, FAISS) and recommend what earns a spot in the stack.
- Partner with product, data science, and business stakeholders to translate ambiguous problems into demoable prototypes within tight sprints.
- Document findings, benchmarks, and trade-offs so successful PoCs can hand off cleanly to production teams Qualifications:
- 3+ years of engineering experience with at least 1+ years hands-on in AI/ML or GenAI.
- Strong Python; production comfort with LangChain, LangGraph, or equivalent LLM orchestration frameworks.
- Demonstrated experience with Generative AI: RAG, prompt engineering, embeddings, fine-tuning (LoRA/PEFT), agentic systems.
- Working knowledge of graph theory — graph databases, graph algorithms, or GraphRAG-style retrieval.
- Solid SQL and comfort working with structured + unstructured data.
- GCP Cloud experience, including GKE, Big Query, Vertex AI, etc. Exact compensation may vary based on several factors, including skills, experience, and education.
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JOB OVERVIEW
Experience level
Lead
Location
Sacramento, CA
Occupation
Computer Systems Engineers/Architects
Industry
Computer Systems Design Services
Posted
today
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