AI Engineer

About the role

UMATR is seeking an engineer to develop AI infrastructure for a product-led organization. You will join a small, high-impact team focused on deploying AI features to millions of active users.

Key facts

What you'll do

• Architect and maintain backend services that integrate LLMs with product interfaces and data pipelines.
• Manage system performance, including latency, scalability, and reliability under heavy traffic.
• Work with product and engineering teams to turn user requirements into functional AI features.
• Take full ownership of the end-to-end quality and performance of AI-powered systems.

Requirements

• Minimum of 3 years of experience developing production-level AI or machine learning features.
• Practical expertise working with large language models, including OpenAI, Anthropic, or open-source alternatives.
• Proficiency in Python and backend system development.
• A product-focused mindset that prioritizes user experience and real-world constraints over theoretical model performance.

Nice to have

• Experience developing agentic systems involving planning, memory, and tool usage.
• Background in vector databases and retrieval systems based on embeddings.
• Knowledge of model customization and fine-tuning.
• Experience with real-time or streaming AI architectures.
• Familiarity with methods for evaluating LLM outputs.

Skills & tools

• Python
• LLMs (OpenAI, Anthropic, Open-source)
• Vector databases
• Backend infrastructure
• AI evaluation methods

Practical notes

• Compensation range is $200,000 to $280,000.
• The company emphasizes a fast-paced environment with a focus on sustainable work habits.