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# Forward Deployment AI Engineer

- **Company:** Lyra Technology Group
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $120,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Encodings, Information Systems, Databases, Data Mining, Python (Programming Language), Machine Learning, Cloud Services, Software Engineering, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Zapier, Build Management, Information Technology, Low-code, Restful APIs
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/49395386-6805-4212-9062-6a1ac24f35a5

## About the Role

* 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
 * Willingness to travel regularly to client sites throughout the Cleveland and Columbus areas

Preferred

 * 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
 * Legal services or law firm experience

Who Thrives in This Role
You're a builder who gets energy from solving real problems for real people. You're not waiting for perfect requirements - you ask good questions, form a hypothesis, and get something in front of stakeholders fast. You're comfortable being the most technical person in the room for one hour and a junior learner the next. You care about the outcome, not just the code.

## Description

Accellis, a Lyra Technology Group portfolio company, is looking for a Forward Deployed 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.

Your work as a Forward Deployment AI Engineer will include several components:

 * 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


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