Senior AI Software Engineer (Applied AI & Distributed Systems)

Location: New York, USA

Salary: $200,000–$300,000 per year

Company

UMA is partnering with a fast-growing technology company that builds intelligent software for advanced engineering environments and data-intensive operations.

What you will do

• Build production AI systems, including agent infrastructure, retrieval pipelines, evaluation frameworks, and intelligent workflows.
• Develop AI-powered engineering tools for investigating anomalies, identifying root causes, and analysing complex system behaviour.
• Work with large-scale datasets such as time-series data, telemetry, logs, and operational information.
• Design scalable backend infrastructure for reliable, production-ready AI applications.
• Take ideas from zero to one through rapid prototyping, testing, and improvement based on customer feedback.
• Collaborate directly with customers and influence product and engineering decisions.

Requirements

• 5+ years of software engineering experience, including experience building AI or machine learning products deployed in production.
• Strong software engineering fundamentals, particularly in backend development, distributed systems, or data-intensive applications.
• Experience working with large datasets, time-series data, data infrastructure, or ML systems.
• Hands-on experience developing and deploying AI-powered applications.
• Experience taking products from early-stage ideas through to production.
• Comfort working in ambiguous environments, making technical decisions, and taking ownership.
• Strong problem-solving skills and an interest in understanding real customer challenges.

Nice to have

• Experience with AI agents, LLM applications, RAG, retrieval pipelines, or evaluation frameworks.
• Experience with telemetry, observability platforms, or time-series databases.
• Experience in robotics, aerospace, autonomous systems, industrial technology, or other hardware-related environments.
• Experience in early-stage startups, founding engineering teams, or new product development teams.

Culture & Benefits

• Work on zero-to-one AI products and influence what gets built.
• Make technical decisions and take ideas from early prototypes through to production.
• Work directly with customers and the people using the software.
• Address complex engineering environments where performance, reliability, and precision are critical.