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Senior Engineer

AI startup developing solutions blending human expertise and AI agents for trust & safety operations, analyzing millions of images and videos daily.
Backend
Senior Software Engineer
Remote
11 - 50 Employees
5+ years of experience
AI · Enterprise SaaS

Job Description

Unitary is an innovative AI startup that has raised $25M in funding from top-tier VCs like Creandum and Plural. The company's mission is to make the internet safer by developing AI solutions that combine human expertise with AI automation for trust & safety operations. As a Senior Engineer, you'll play a crucial role in scaling their infrastructure that currently processes millions of images and videos daily for major platforms.

The role offers a unique opportunity to work at the intersection of software engineering and AI, helping to build and scale services that will support the company's growth from 10 to 30+ clients. You'll be responsible for reimagining existing services, establishing new design patterns, and creating the software "glue" that bridges ML and platform engineering capabilities.

The position requires strong Python expertise, experience with containerized microservices and Kubernetes, and understanding of ML principles. You'll work in a remote-first environment with a team of 20+ professionals across Europe and North America, contributing to meaningful work that makes the internet safer.

The company offers an attractive benefits package including equity, flexible working, professional development budget, and regular team offsites. This is an excellent opportunity for a senior engineer who wants to make a significant impact in an early-stage startup while working on cutting-edge AI technology with real-world applications in trust and safety.

Last updated 7 hours ago

Responsibilities For Senior Engineer

  • Re-imagine and refactor existing services and tooling
  • Deliver software as part of onboarding new clients and use cases
  • Establish design patterns and approaches
  • Bridge Machine Learning and Platform Engineering Capabilities
  • Contribute to new generation of tools and services for building AI Agents

Requirements For Senior Engineer

Python
Go
Kubernetes
  • Expert Python development experience
  • Experience in Data Engineering, MLOps and/or Platform Engineering
  • Track record of delivering solutions
  • Strong skills in containerized microservices on Kubernetes
  • Knowledge of event-driven architectures
  • DevOps mindset and cloud platform skills
  • Basic knowledge of Go
  • Experience with AI-assisted code development tools
  • Understanding of machine learning principles

Benefits For Senior Engineer

Equity
Parental Leave
  • Flexible hours and location
  • Competitive salary and equity package
  • Occupational pension
  • Generous paid parental leave
  • Generous paid sick leave
  • Annual budget for professional development and growth
  • Annual budget for individual health and wellness
  • Three team offsites to London or other exciting destinations in Europe

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