Forward Deployment AI Engineer
About The Position
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.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field
- Must be legally authorized to work in the United States without employer sponsorship now or in the future
- 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
Nice To Haves
- 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
- Experience working with SMB clients across industries such as professional services, healthcare, logistics, or retail
Responsibilities
- Embed directly with clients to discover operational pain points, map workflows, and identify high-ROI opportunities for AI and automation
- Design and build AI agents using frameworks such as LangChain, LangGraph, AutoGen, or similar — including tool-use, memory, and multi-agent orchestration patterns
- Develop AI-powered workflows that integrate with clients' existing systems (CRMs, ERPs, cloud platforms, communication tools, etc.)
- Engineer automation solutions across areas such as document processing, data extraction, reporting, customer communication, and internal operations
- Own the full delivery lifecycle-from scoping and architecture to build, testing, handoff, and lightweight documentation
- Train and enable client teams to maintain and iterate on solutions post-deployment
- Serve as a trusted technical advisor, translating complex AI capabilities into clear business value for non-technical stakeholders
- Contribute internally by codifying reusable components, playbooks, and delivery templates that scale across the practice
Benefits
- Health, vision, and dental insurance
- Paid time off, including parental leave and volunteer time.
- Flexible work environment
- Access to mental health services
- Employee matching donation program
- 401k and employer matching
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
