Lyra Technology Group
ForwardDeploymentAIEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Forward Deployment AI Engineer at Lyra Technology Group. Skills: AI agents, Workflow automation, Client engagement. Embed directly with clients. Discover operational pain points”
What You'll Achieve.
Create real operational impact; Change how these organizations run; Drive sustainable and healthy growth over the long term
Industry & Context.
Diagnosing inefficiencies; Solving real problems for real people
Willingness to travel regularly to client sites throughout the Cleveland and Columbus areas
What They're Looking For.
Must Have
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, Familiarity with REST APIs, Familiarity with cloud services, Hands-on experience building with LLM APIs (OpenAI, Anthropic, Gemini, or similar), Understanding of prompt engineering, Understanding of RAG (Retrieval-Augmented Generation), Understanding of agentic workflow patterns, Ability to work independently in ambiguous, fast-moving client environments, Communication skills, Willingness to travel regularly to client sites throughout the Cleveland and Columbus areas
Nice to Have
Experience with workflow automation platforms (Zapier, Make, n8n, or similar), Familiarity with vector databases (Pinecone, Weaviate, Chroma), Familiarity with 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
What You'll Do.
Embed directly with clients
Discover operational pain points
Identify high-ROI opportunities
Develop AI-powered workflows
Integrate with clients' existing systems
Engineer automation solutions
Own the full delivery lifecycle
Serve as a trusted technical advisor
Translate complex AI capabilities
Codify reusable components
Codify delivery templates
How You'll Work.
Team & Collaboration
Work directly inside our clients' businesses; Earning stakeholder trust; 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
Communication Scope
Explaining a vector database to a CFO without losing them
Process & Methodology
Scoping, Architecture, Build, Testing, Handoff, Documentation
Full Job Description
Lyra Technology Group is a private equity-backed holding company that invests in and operates industry leading technology service businesses. Our companies are operated independently by exceptional management teams. Companies that join our group retain the employees, name, and culture that have made them successful. As a platform of Evergreen Services Group, we never divest from businesses we partner with and approach every decision with the goal of driving sustainable and healthy growth over the long term. 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 docum
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