About Lyra Technology Group
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.
About Interlaced
Interlaced, a Lyra Technology Group portfolio company, is looking for a Forward Deployment AI Engineer. Interlaced is a cloud-focused IT services provider, working with cutting-edge clients in forward-thinking industries like tech startups, biotech, and digital agencies.
About the Role
The Forward Deployment AI Engineer (FDE) will embed with our clients' businesses to design, build, and deploy AI-powered solutions that create real operational impact. This is a hands-on, client-facing engineering role for someone comfortable presenting to a small business owner as well as writing Python. You will work directly with small and mid-size businesses diagnosing inefficiencies, earning stakeholder trust, and shipping production-grade AI agents, automated workflows, and engineering solutions.
Your Work Will Include
- Relationship Management: Identify, engage, and secure new business opportunities.
- 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.
- Stay at the forefront of the AI landscape and proactively recommend new tools, solutions, and service offerings.
- Elevate our internal team's AI fluency.
Qualifications
Required
- 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 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 and embrace challenges.
- Strong communication skills, capable of translating complex AI capabilities for non-technical stakeholders.
Preferred
- Experience with workflow automation platforms (Zapier, Make, n8n, Lindy 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.