Note: The job is a remote job and is open to candidates in USA. Re:Build Manufacturing is a growing family of industrial and engineering businesses focused on revitalizing US manufacturing through advanced technologies. They are seeking a Senior AI Engineer to design and build AI agents that enhance hardware product development workflows, ensuring proactive coordination and risk management across engineering teams.
Responsibilities
- Designing, building, and iterating on LLM-powered agents that coordinate across engineering disciplines, surface project risks, and generate structured deliverables (proposals, SOWs, status reports)
- Owning the agent orchestration layer (currently LangChain DeepAgent) and continuously evaluating whether to extend, replace, or supplement it as new frameworks and patterns emerge
- Implementing robust tool-use patterns that connect agents to external systems (project management tools, CAD/PLM platforms, communication channels) via APIs and integrations
- Designing and tuning prompts, chains, and retrieval strategies to maximize agent reliability, accuracy, and usefulness across diverse hardware project contexts
- Building evaluation and observability infrastructure for agent performance, including tracing, cost tracking, latency monitoring, and automated quality benchmarks
- Developing streaming agent interfaces that surface real-time progress, reasoning transparency, and proactive alerts to end users
- Staying current with rapid advances in LLMs, agent frameworks, and related tooling, and translating that awareness into actionable recommendations for the team
- Collaborating with frontend engineers on the UX of AI-powered features and with backend engineers on data pipelines and API design
- Contributing to AI architecture decisions, code reviews, and engineering best practices
Skills
- 5+ years of production software engineering experience, with 2+ years focused on bringing LLM-based applications or agent systems to market
- Demonstrated proficiency using AI coding tools (Cursor, Copilot, Claude, etc.) to accelerate development
- Hands-on experience building and deploying agentic systems using frameworks such as LangChain/LangGraph, CrewAI, AutoGen, or custom orchestration
- Strong understanding of LLM fundamentals: prompt engineering, function/tool calling, retrieval-augmented generation (RAG), context window management, and token economics
- Proficiency with Python in production environments
- Experience integrating LLM-powered features with external APIs, databases, and third-party tools
- Experience designing and operating background job / async task pipelines (Celery, RQ, Temporal, or similar) for long-running agent runs and reliable retries
- Experience building multi-agent systems with planning, delegation, and inter-agent communication patterns
- Demonstrated ability to evaluate and adopt new AI tools and frameworks quickly, with a track record of staying ahead of a fast-moving field
- Strong software engineering fundamentals: clean architecture, testing, version control, and code review practices
- Ability to balance rapid experimentation with production-grade reliability
- Direct experience with LangChain's DeepAgent or LangGraph for multi-step agent orchestration
- Background in evaluation frameworks for LLM outputs (automated scoring, human-in-the-loop evaluation, regression testing for prompts)
- Familiarity with vector databases and embedding pipelines (Pinecone, Weaviate, pgvector, or similar)
- Experience with model serving infrastructure, fine-tuning workflows, or model selection/routing strategies
- Understanding of authentication/authorization patterns (OIDC, JWT) and secure handling of user data in LLM contexts
- Background in B2B SaaS platforms, project management tools, or technical collaboration products
- Familiarity with hardware development, engineering workflows, or project management concepts (phases, gates, dependencies, requirements traceability)
- TypeScript / React fluency, enough to pair with frontend engineers on streaming agent UIs and reasoning-transparency surfaces
Benefits
- Full health/dental/vision
- Bonus program
- Generous 401K
- Paid time off
- Annual learning stipend
- Participation in Re:Build's LTIP equity program
- Opportunity for founder equity in potential spin-out
Company Overview
Re:Build Manufacturing integrates design, engineering, and manufacturing to deliver complex, multi-technology products from concept through full-rate production. It was founded in 2020, and is headquartered in Framingham, Massachusetts, USA, with a workforce of 1001-5000 employees. Its website is https://www.rebuildmanufacturing.com.