Senior AI/Agent Systems Engineer

UMATR; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

UMATR is a high-growth technology company building software and AI solutions for teams working with complex physical systems. Their platform handles telemetry, time-series data, test results and engineering logs, and they’re building AI systems to reason over this data to help engineers investigate failures and compare test runs.

They are looking for a strong software engineer with hands-on experience building production AI and agent systems to take ideas from 0→1 through to production.

Qualifications

• 5+ years of software engineering experience.
• Meaningful hands-on experience building AI/agent systems that operate in production.
• Strong software engineering ability; engineering-first role, not purely ML research.
• Experience with agent infrastructure, LLM applications, retrieval/context systems, evaluation or AI reliability.
• Comfortable with large-scale data, APIs and distributed systems.
• Strong product instincts and ability to work directly with users or customers.
• Comfortable making technical decisions independently in a 0→1 environment.
• Track record of owning systems beyond simply integrating an LLM API into an existing product.

Responsibilities

• Build the infrastructure and tooling behind production AI agents and agentic workflows.
• Develop systems for retrieval, context management, evaluation and AI observability.
• Build reliable backend and distributed systems that support AI workloads at scale.
• Design and improve evaluation frameworks for measuring agent quality, reliability and performance.
• Work with large volumes of telemetry, time-series data, test results and engineering logs.
• Prototype new AI capabilities quickly, test with users and productionise what works.
• Work directly with engineers and customers to understand real-world problems and turn them into technical solutions.
• Make architectural decisions in a 0→1 environment, balancing speed with long-term reliability.
• Own projects end-to-end, from initial idea and prototype through to production.

Skills

Backend systems

Distributed systems

AI/agent systems

LLM applications

Retrieval & context

Evaluation & AI reliability

APIs & data-scale

Independent decision making

Product instincts

End-to-end ownership

Job description

UMATR is a high-growth technology company building software and AI solutions for teams working with complex physical systems. Their platform handles telemetry, time-series data, test results and engineering logs, and they’re building AI systems to reason over this data to help engineers investigate failures and compare test runs.

They are looking for a strong software engineer with hands-on experience building production AI and agent systems to take ideas from 0→1 through to production.