Senior AI Engineer

THE OPPORTUNITY

If you've 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. We're 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. You'll own the AI systems that set our product

apart: agents that understand hardware workflows, anticipate problems, and take

action on behalf of engineering teams.

WHO WE'RE LOOKING FOR

We're looking for an AI engineer who works equally well in applied research and

production software. You've 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. You're comfortable

evaluating new frameworks, models, and techniques on short cycles and making

pragmatic build-vs.-adopt decisions as the landscape shifts.

We currently use LangChain's 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 framework's

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. You'll write code daily while contributing to AI

architecture decisions and helping define how we evaluate and evolve our agent

capabilities over time.

WHAT YOU'LL DO

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

TECHNICAL REQUIREMENTS

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 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

WHAT WE OFFER

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:Build's 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:Build's LTIP equity program and opportunity

for founder equity in potential spin-out

COMPENSATION & LOCATION

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 $143,666.72 - $215,500.08 per year.

This range represents the Company’s 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 location. In 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.

ABOUT RE:BUILD MANUFACTURING

Re:Build Manufacturing is a growing family of industrial and engineering

businesses combining enabling technologies, operational superiority, and

strategic M&A to build America's next generation industrial company. At Re:Build

we deploy deep expertise in engineering, operations management, and technology

to supercharge the performance of our member companies. We harness deep

professional expertise and a candid, principled operating culture to drive

differentiated outcomes. Ours is a fast-paced environment where individuals can

stretch and be challenged to pursue their fullest potential.

Re:Build was founded to pioneer a profitable model for the revitalization of US

manufacturing. We've assembled a powerful set of complementary capabilities and

lines of business that enable us to pursue a wide range of end markets. Our

acquired businesses are grounded in build-to-print and by-the-hour engineering

and design services, and we're using their combined expertise to migrate to

increasingly sophisticated program development and production, as well as the

generation of our own products. Our unique set of capabilities lend themselves

to highly complex systems and products, and we offer customers a range of

services including product and systems design, automation, fabrication,

assembly, and large volume contract manufacturing. Our customers span a wide

array of industries including aerospace, defense, mobility, healthcare, pharma,

biotech, clean tech, chemicals, energy, lifestyle, food production, and

industrial equipment.

WE WANT TO WORK WITH PEOPLE THAT REFLECT THE COMMUNITIES IN WHICH WE OPERATE

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

[email protected] or you may call us at 617.909.6275.