[Remote] Senior AI Engineer

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.ResponsibilitiesDesigning, 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 emergeImplementing robust tool-use patterns that connect agents to external systems (project management tools, CAD/PLM platforms, communication channels) via APIs and integrationsDesigning and tuning prompts, chains, and retrieval strategies to maximize agent reliability, accuracy, and usefulness across diverse hardware project contextsBuilding evaluation and observability infrastructure for agent performance, including tracing, cost tracking, latency monitoring, and automated quality benchmarksDeveloping streaming agent interfaces that surface real-time progress, reasoning transparency, and proactive alerts to end usersStaying current with rapid advances in LLMs, agent frameworks, and related tooling, and translating that awareness into actionable recommendations for the teamCollaborating with frontend engineers on the UX of AI-powered features and with backend engineers on data pipelines and API designContributing to AI architecture decisions, code reviews, and engineering best practicesSkills5+ years of production software engineering experience, with 2+ years focused on bringing LLM-based applications or agent systems to marketDemonstrated proficiency using AI coding tools (Cursor, Copilot, Claude, etc.) to accelerate developmentHands-on experience building and deploying agentic systems using frameworks such as LangChain/LangGraph, CrewAI, AutoGen, or custom orchestrationStrong understanding of LLM fundamentals: prompt engineering, function/tool calling, retrieval-augmented generation (RAG), context window management, and token economicsProficiency with Python in production environmentsExperience integrating LLM-powered features with external APIs, databases, and third-party toolsExperience designing and operating background job / async task pipelines (Celery, RQ, Temporal, or similar) for long-running agent runs and reliable retriesExperience building multi-agent systems with planning, delegation, and inter-agent communication patternsDemonstrated ability to evaluate and adopt new AI tools and frameworks quickly, with a track record of staying ahead of a fast-moving fieldStrong software engineering fundamentals: clean architecture, testing, version control, and code review practicesAbility to balance rapid experimentation with production-grade reliabilityDirect experience with LangChain's DeepAgent or LangGraph for multi-step agent orchestrationBackground 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 strategiesUnderstanding of authentication/authorization patterns (OIDC, JWT) and secure handling of user data in LLM contextsBackground in B2B SaaS platforms, project management tools, or technical collaboration productsFamiliarity 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 surfacesBenefitsFull health/dental/visionBonus programGenerous 401KPaid time offAnnual learning stipendParticipation in Re:Build's LTIP equity programOpportunity for founder equity in potential spin-outCompany OverviewRe: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.