Forward Deployment AI Engineer

Lyra Technology Group•San Diego, CA

3d•$120,000 - $150,000•Hybrid

About The Position

Interlaced, a Lyra Technology Group portfolio company, is looking for a Forward Deployment AI Engineer. The FDE will embed with 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 working directly with 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 small business owner as they are writing Python. Our companies are cloud-focused IT services providers, providing outsourced IT services for innovative businesses across the globe. We are cloud focused We work with cutting edge clients in forward thinking industries like tech startups, biotech and digital agencies We are poised for significant growth in 2026 and beyond and need you to help us do it! We are a team of hungry, innovative, technology-lovers who are excited to build something amazing together!

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 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, 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

Responsibilities

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 that help Interlaced and its clients remain ahead of the curve
Elevate our internal team's AI fluency