U
Forward Deployed Engineer
Accepting applicationsUMATR · New York, United States
Full-Time Mid_senior AIaiatemachine learning
Posted
1d ago
Category
Test
Experience
Mid_senior
Country
United States
About the Company
UMATR are supporting a company building AI-powered software to modernise complex technical and operational workflows across large, traditionally underserved industries. Their team combines deep technical expertise with hands-on collaboration alongside domain professionals to develop practical tools that improve productivity, decision-making, and knowledge management in real-world environments. They believe there is a significant opportunity to apply modern machine learning systems to workflows that have historically relied on fragmented software, manual processes, and institutional knowledge.
Why This Role Matters
They are looking for early engineering hires to work closely with the founding team on building the first generation of our platform and internal tooling. This role offers broad ownership across product development, systems architecture, user discovery, and deployment. You’ll help shape both the technical direction of the company and the way modern AI systems are integrated into complex operational environments. The work involves close interaction with end users, rapid iteration cycles, and solving ambiguous problems in domains where software adoption has historically lagged behind.
What You’ll Do
Work directly with users and operators to understand workflows, pain points, and opportunities for automation
Design, build, and deploy production systems end-to-end
Collaborate with leadership on technical architecture, engineering culture, and product direction
Develop core platform capabilities across data systems, workflow infrastructure, automation tooling, and internal knowledge management systems
Build internal tools and integrations across a variety of third-party systems and environments
Iterate quickly based on real-world feedback and operational constraints
What We Look For
Strong curiosity and systems thinking
Comfortable operating in ambiguous environments with incomplete information
Excellent communication and collaboration skills
Ability to translate noisy user feedback into practical product decisions
High ownership mindset and willingness to work across the stack
Has experience working with LLMs, Agent Frameworks or RAG
Willingness to travel occasionally for user research and fieldwork
Pragmatic approach to problem-solving with a bias toward shipping
Show more Show less
UMATR are supporting a company building AI-powered software to modernise complex technical and operational workflows across large, traditionally underserved industries. Their team combines deep technical expertise with hands-on collaboration alongside domain professionals to develop practical tools that improve productivity, decision-making, and knowledge management in real-world environments. They believe there is a significant opportunity to apply modern machine learning systems to workflows that have historically relied on fragmented software, manual processes, and institutional knowledge.
Why This Role Matters
They are looking for early engineering hires to work closely with the founding team on building the first generation of our platform and internal tooling. This role offers broad ownership across product development, systems architecture, user discovery, and deployment. You’ll help shape both the technical direction of the company and the way modern AI systems are integrated into complex operational environments. The work involves close interaction with end users, rapid iteration cycles, and solving ambiguous problems in domains where software adoption has historically lagged behind.
What You’ll Do
Work directly with users and operators to understand workflows, pain points, and opportunities for automation
Design, build, and deploy production systems end-to-end
Collaborate with leadership on technical architecture, engineering culture, and product direction
Develop core platform capabilities across data systems, workflow infrastructure, automation tooling, and internal knowledge management systems
Build internal tools and integrations across a variety of third-party systems and environments
Iterate quickly based on real-world feedback and operational constraints
What We Look For
Strong curiosity and systems thinking
Comfortable operating in ambiguous environments with incomplete information
Excellent communication and collaboration skills
Ability to translate noisy user feedback into practical product decisions
High ownership mindset and willingness to work across the stack
Has experience working with LLMs, Agent Frameworks or RAG
Willingness to travel occasionally for user research and fieldwork
Pragmatic approach to problem-solving with a bias toward shipping
Show more Show less