Senior AI Engineer

At Re:Build our mission is to ensure the next generation of important products are made at scale in America. We are laying the foundation for a better future for our customers employees and communities by revitalizing Americas manufacturing base and creating meaningful jobs across the country including in historically deindustrialized regions.

We operate an advanced end-to-end manufacturing platform that partners with industrial companies and innovators to take products from first concept to full-scale production in critical verticals including aerospace and defense electrification medical energy and environment and robotics and automation.

The way we operate is as important as the work we do. Its guided by TheRe:BuildWay 16 principles that shape how we collaborate with each other partner with our customers and vendors and contribute to the communities where we operate.(link toThe Re:Build Way principles)

If youve worked alongside hardware teams you know the damage that results from a missed change request or critical context that was never relayed to the right person. Reflow exists to close that gap. Were building the first AI-powered platform built for hardware product development one that listens across the tools teams already use maintains a structured picture of every program and proactively coordinates across disciplines when things inevitably change.

This is an early role for a hands-on AI engineer to design and build the agents at the core of our platform backed by a parent company with deep roots in engineering and manufacturing. Youll own the AI systems that set our product apart: agents that understand hardware workflows anticipate problems and take action on behalf of engineering teams.

Were looking for an AI engineer who works equally well in applied research and production software. Youve shipped LLM-powered agent systems to real users you have strong intuitions about prompt engineering tool use and orchestration patterns and you keep up with a field that changes fast. Youre comfortable evaluating new frameworks models and techniques on short cycles and making pragmatic build-vs.-adopt decisions as the landscape shifts.

We currently use LangChains DeepAgent framework for our agent orchestration but every layer of our AI stack is open to change. The right person for this role understands how agent systems work under the hood not just one frameworks abstractions and can adapt as better tools and approaches emerge.

This senior engineer will work alongside our engineering team and head of product to build optimize and operate the AI agents that give users proactive coordination risk surfacing status summaries and AI-generated deliverables. The role is hands-on. Youll write code daily while contributing to AI architecture decisions and helping define how we evaluate and evolve our agent capabilities over time.

Your day-to-day responsibilities will include:

• 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

Must Have:

• 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

Highly Valuable:

• Direct experience with LangChains 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

Real Impact: The opportunity to build purpose-built tooling for an entire industry that has never had it

Customer Access: Direct exposure to hundreds of real hardware projects annually through Re:Builds engineering and manufacturing companies

Technical Growth: Hands-on work at the frontier of applied AI solving novel agent design challenges with real-world feedback loops

Autonomy: Backed by Re:Build while operating with startup independence

Benefits: Full health/dental/vision bonus program generous 401K paid time off annual learning stipend

Equity & Growth: Participation in Re:Builds LTIP equity program and opportunity for founder equity in potential spin-out

Location: Remote-first with preference for candidates in Boston Seattle Los Angeles or other cities with Re:Build offices

The base salary range for this position is $143666.72 - $215500.08 per year. This range represents the Companys good faith estimate of the base compensation for this role at the time of posting. Actual compensation will be determined based on several factors including but not limited to relevant experience skills qualifications internal equity and geographic addition to base salary this role may be eligible for annual incentive compensation and/or long-term incentives subject to Company plans. The Company offers a comprehensive benefits package including medical dental vision retirement paid time off and other benefits.

Please note this role is restricted to US citizens or lawful permanent residents only due to exposure to export controlled information.

Re:Build Manufacturing is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race color religion gender gender identity or expression sexual orientation national origin genetics disability age veteran status marital status parental status cultural background organizational level work styles tenure and life experiences. Or for any other reason.

Re:Build is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability you may contact us at or you may call us at 617.909.6275.