Forward Deployment AI Engineer
St. Louis, Missouri, 63110, United StatesAll locationsSt. Louis, Missouri, 63110, United StatesDenver, CO On-site
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About the role
GadellNet is looking for a Forward Deployment AI Engineer. As an FDE, you will work directly inside our clients' businesses-rolling up your sleeves to design, build, and deploy AI-powered solutions that create real operational impact. You won't be sitting behind a desk writing specs; you'll be on-site at small and mid-size businesses diagnosing inefficiencies, earning stakeholder trust, and shipping production-grade AI agents, automated workflows, and engineering solutions that change how these organizations run. This is a hands-on, client-facing engineering role built for someone who is as comfortable presenting to a business owner as they are writing Python. Candidates must be located in the Denver, Indianapolis, or St. Louis areas. GadellNet is looking for a Forward Deployment AI Engineer. As an FDE, you will work directly inside our clients' businesses-rolling up your sleeves to design, build, and deploy AI-powered solutions that create real operational impact. This is a hands-on, client-facing engineering role built for someone who is as comfortable presenting to a business owner as they are writing Python.
What you'll bring
- Candidates must be located in the Denver, Indianapolis, or St.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field
- 2+ years of professional experience in software engineering, AI/ML engineering, or a technical consulting role
- Working proficiency in Python and familiarity with REST APIs and cloud services
- Hands-on experience building with LLM APIs (OpenAI, Anthropic, Gemini, or similar)
- Understanding of prompt engineering, RAG (Retrieval-Augmented Generation), and agentic workflow patterns
- Ability to work independently in ambiguous, fast-moving client environments
- Strong communication skills-you can explain a vector database to a CFO without losing them
- Experience with workflow automation platforms (Zapier, Make, n8n, or similar)
- Familiarity with vector databases (Pinecone, Weaviate, Chroma) and embedding pipelines
- Exposure to low-code/no-code tools alongside custom-code solutions
- Prior client-facing, consulting, or forward-deployed engineering experience