Forward Deployment AI Engineer

Lyra Technology Group•Tampa, FL

7h•Hybrid

About The Position

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. Lyra Tech Group is looking for a Forward Deployed AI Engineer for one of our operating companies. 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

Client Acquisition & Relationship Management: Identify, engage, and secure new business opportunities through
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