AI Engineer (GCP)

Insight Global; Dunwoody (GA); On-site; USD 62,000 - 76,000; Full time

Job summary

Insight Global is seeking a hands-on AI Engineer to join the Innovation team, building rapid PoCs across GenAI use cases like RAG, agentic workflows, and graph-driven architectures. You'll prototype, iterate, and demo—translating fuzzy ideas into working proofs of concept that inform AI at scale.

You'll work with Python, graph databases, and cloud AI services to deliver end-to-end pipelines, document results, and enable smooth handoffs to production teams.

Qualifications

• 3+ years engineering experience in AI/ML.
• 1+ years hands-on with AI/ML or GenAI.
• Strong Python; production comfort with LangChain/LangGraph or equivalent frameworks.
• Experience with Generative AI: RAG, embeddings, fine-tuning (LoRA/PEFT).
• Knowledge of graph databases/graph theory and retrieval systems.
• Solid SQL and data handling of structured + unstructured data.
• Cloud experience with AI services (Azure/AWS/GCP).
• Bias toward action—ship PoCs quickly and learn new stacks.

Responsibilities

• 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 to model relationships and power retrieval systems.
• Build end-to-end AI pipelines integrating LLMs with vector stores and enterprise data.
• Write clean SQL to shape training/eval datasets and integration with GenAI workflows.
• Evaluate tools/frameworks and recommend stack components for production use.
• Partner with product, data science, and business stakeholders to translate ambiguous problems into demoable prototypes.
• Document findings, benchmarks, and trade-offs for hand-off to production teams.

Skills

Python

GenAI

RAG

Tools

LangChain

LangGraph

GraphRAG

Neo4j

NetworkX

LlamaIndex

Pinecone

Weaviate

FAISS

OpenAI

Azure OpenAI

Hugging Face

SageMaker

Vertex AI

Job description

Job Description

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.

Pay: 45-55/HR based on experience

Skills and Requirements

• 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.
• Cloud experience (Azure, AWS, or GCP) with AI/ML services (Azure OpenAI, SageMaker, Vertex AI).
• Bias toward action — you ship PoCs in days, not months, and you learn new stacks quickly.
• BigQuery Conversational Analytics(BQCA)

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].