Forward Deployment AI Engineer

Lyra Technology GroupChicago, IL
Hybrid

About The Position

Lyra Technology Group is a private equity-backed holding company that invests and operates industry-leading technology service businesses. They are seeking a Forward Deployed AI Engineer to work directly within client businesses. This role involves designing, building, and deploying AI-powered solutions to create operational impact. The engineer will be on-site at small and mid-size businesses, diagnosing inefficiencies, building stakeholder trust, and implementing production-grade AI agents, automated workflows, and engineering solutions. This is a hands-on, client-facing engineering role that requires comfort in both presenting to business owners and writing Python code.

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 sponsorship.
  • 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, capable of explaining complex technical concepts to non-technical stakeholders.
  • Willingness to travel regularly to client sites (estimated 40–60%).

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

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