Forward Deployed Engineer - Perleybrook Labs Pvt Ltd

We're Hiring: Forward Deployed Engineer Full-time | On-site at one of Perleybrook's customer manufacturing locations

About Perleybrook Perleybrook Labs is an industrial-AI company founded in 2013, headquartered in Portsmouth, New Hampshire, with an engineering team in Kochi, India. We're best known for Flagman, a computer-vision platform that turns ordinary cameras into real-time safety, automation, and quality-control systems for manufacturing plants, warehouses, ports, and heavy-industry sites. We're a member of the Techstars Industries of the Future accelerator, and our work sits at the center of the Industry 5.0 shift — where human expertise and advanced automation operate together on the plant floor.

As our customers modernize, they increasingly need more than vision systems: they need to turn expert, often undocumented, workflows into dependable software — and, over time, into a single connected system that understands how the whole plant actually runs. That's the direction we're building toward, and this role is where it starts.

About the Role The Forward Deployed Engineer is embedded directly at customer manufacturing sites, working shoulder-to-shoulder with the people who run operations. You'll partner with subject-matter experts to find the workflows worth automating, help their teams turn early prototypes into secure and maintainable production applications, and raise the bar for how AI-assisted software gets built on-site.

This is a hands-on, customer-facing engineering role for someone who's equally comfortable writing production code, using agentic development tools well, and explaining a data flow to a plant manager who has never opened a terminal. The applications you build on-site aren't throwaway tools—they're the groundwork for the operational intelligence layer Perleybrook is building for the factory floor.

What You'll Do

• Embed at customer sites and work with subject-matter experts to identify use cases and workflows that can be converted into AI-native applications.
• Help customer teams move prototypes and MVPs into robust, secure, deployable applications.
• Support and advance best practices in AI-assisted software engineering across the site—helping colleagues use agentic tools effectively while ensuring the resulting code is validated for correctness, security, and maintainability.
• Apply strong standards for testing, documentation, access control, and deployment so that internal tools remain dependable as they move from proof of concept into routine use.
• Maintain detailed documentation for applications, data flows, and shared infrastructure to support maintainability and knowledge sharing within the customer team.

Required Qualifications

• B.S. or M.S. in Computer Science, Software Engineering, or a related discipline; equivalent industry experience also welcome.
• 2+ years of professional experience.