Forward Deployment AI Engineer
Role details
Job location
Tech stack
Job description
Your work as a Forward Deployment AI Engineer will include several components:
- 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 that help Interlaced and its clients remain ahead of the curve
- You genuinely enjoy teaching. You'll be expected to elevate our internal team's AI fluency, not just deliver client engagements.
Requirements
Do you have experience in Customer communication?, * 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. You'll be the primary technical resource for this practice and should be comfortable embracing challenge.
- Strong communication skills - you can explain a vector database to a CFO without losing them
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
Who Thrives in This Role
You're a builder who gets energy from solving real problems for real people. You're not waiting for perfect requirements - you ask good questions, form a hypothesis, and get something in front of stakeholders fast. You're comfortable being the most technical person in the room for one hour and a junior learner the next. You care about the outcome, not just the code.
Benefits & conditions
The targeted base salary for this role is $120,000 - $150,000 per year and will operate out of the Interlaced office on a hybrid basis.
Lyra Tech Group is an equal opportunity employer. We celebrate diverse perspectives and are committed to building an inclusive team.