AI Research Engineer
AI Research Engineer
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Job Description
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 Americas 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 leverage deep professional expertise and a candid principled operating culture to drive differentiated outcomes. Ours is a fastpaced 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. Weve assembled a powerful set of complimentary capabilities and lines of business that enable us to pursue a wide range of end markets. Our acquired businesses are grounded in buildtoprint and bythehour engineering and design services and were leveraging 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.
Who we are looking for
As our AI Research Engineer you will play a pivotal role in developing AI workflows and innovative agents that accelerate embedded electronic system design compressing lead times and helping companies create innovative medical consumer and industrial products faster.
In this role you will focus on:
- Using your knowledge of the latest advancements in generative AI to develop and deploy AI backend services that automate embedded system design (ESD)processes enabling engineers to focus their energy on solving the toughest challenges.
- Developing solutions to address some of the hardest problems at the pioneering of AI application.
What you get to do
- Create new AI workflows agents frameworks memory systems and tool integrations to assist engineers with embedded systems design tasks.
- Define and configure LLM model infrastructure; select curate and update models to maintain innovative performance in secure environment where protection of IP and customer data is paramount.
- Create software for AI backend tools that interface to customer application infrastructure and data systems; develop APIs to AI models and data sources.
- Work with internal collaborators and ESD domain authorities to understand system requirements and automate targeted design processes.
- See opportunities for creating custom finetuned LLM models for specific domain knowledge in embedded systems; work with collaborators to collect curate and generate training data including generating synthetic data; train and deploy custom models for ESD tasks.
- Specify and lead high performance computing resources including onsite GPU servers for hosting LLMs agents and customer data.
- Ensure timely and successful delivery of highquality scalable code solutions.
- Ensure maintainability and reliability of code.
What you bring to the Team
- Bachelors degree or equivalent experience in computer science software engineering or a related field.
- Strong Python skills in AI/ML development (eg. Pytorch tensorflow NLP scikitlearn)
- Deep experience using generative AI models (Llama Claude ChatGPT Gemini Deepseek Mistral) tools (langchain LlamaIndex Haystack AutoGPT) and supporting infrastructure (Azure AWS Hugging Face or local hosting on GPUs (NVIDIA).
- Experience with LLM model selection finetuning RAG tooluse MCP servers AI workflows AI agents and prompt optimization.
- Proficiency with vLLM TensorRTLLM OpenLLM Llama.cpp or related optimizations for accelerating LLM inference.
- Strong ability to collaborate in agile development environments with frontend engineers fullstack engineers ITsupport and domain authorities in ESD across a variety of platforms (IoT microcontrollers FPGA GPU).
- Strong understanding of RESTful APIs GraphQL WebSockets and databases (SQL/Postgres)
- Experience with version control (Git) CI/CD pipelines and containerized environments (Docker Kubernetes).
- Entrepreneurial approach with a passion for innovation customer success and driving growth in a rapidly evolving market.
Preferred Qualifications
- Understanding of CAD/CAE tools used in fields such as electrical engineering design and ESD.
- Prior experience in a manufacturing design automation or industrial software environment.
Location
This role will be based in Rochester NY
The BIG payoff
We are a company who is going to make a difference in the industries and the communities in which we choose to operate.
Every employee of Re:Build will share ownership in the company and will share in the financial rewards of the success we achieve together at all levels of the company!
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 or you may call us at 617.909.6275.
Employment Type
Full Time
