Design, develop, and maintain AI-driven software applications while collaborating with cross-functional teams, ensuring code quality and system reliability.
About Us:
Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry. We started with voice — the hardest and most valuable channel in insurance — and are now expanding into full workflow automation across sales, servicing, and claims. Our long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance carrier and broker operations. We've raised $72M to date, including a $50M Series B in October 2025, backed by top-tier venture firms.
About The Role:We are looking for a skilled Senior Software Engineer to join our development team and help build scalable, reliable, and innovative AI-driven applications.
You will join an amazing team of talented and motivated engineers with diverse backgrounds and experience who value collaboration, learning and improvement, trust and respect, and technical excellence. We believe in creating an environment where teammates enjoy working together, celebrate successes, and have fun solving interesting problems.
Key Responsibilities:- Design, develop, and maintain software applications that leverage foundational LLMs and are built with high performance and scalability in mind.
- Collaborate with cross-functional teams including data scientists, product managers, and other engineers to translate business requirements into technical specifications.
- Write clean, efficient, and well-documented software.
- Participate in code reviews and provide constructive feedback to maintain the highest standard of code quality.
- Contribute to the architectural design and decisions that shape the future of our AI platform.
- Advance technical progress, gaining buy-in across the organization and ensuring alignment on strategic initiatives.
- Troubleshoot, debug, and resolve issues across the entire stack, and contribute to the on-call rotation to ensure system reliability.
- 5+ years experience writing high-quality production software in Python.
- Extensive experience writing asynchronous, high throughput software.
- Extensive experience with FastAPI, Django, asyncio.
- Experience with NodeJS, React, Typescript and or Express.
- Proficiency in SQL and have experience working with real-time distributed data processing systems like RabbitMQ, SNS, SQS.
- Passionate about exploring emerging technology, and apply your curiosity to your work.
- Experience with cloud platforms such as AWS, Google Cloud, or Azure, and familiarity with DevOps practices.
- Comfortability in navigating ambiguity, making trade-offs to deliver features today without compromising long-term quality, and driving innovation.
- Thrive in a collaborative, fully remote, distributed team environment and have experience working asynchronously.
- Learn from mistakes, adapt quickly, and maintain a forward-focused mindset.
- Experience working with foundational LLMs and understand the various approaches to maximizing their efficiency.
- Experience in regulated industries.
- Previously worked in high-growth, fast paced environments.
*Hybrid role requiring 2 days per week in Berkeley or Boston. Candidates should be based in Boston or the San Francisco Bay Area, or willing to relocate.
Salary Range: $190,000-215,000
Benefits:- Competitive salary with equity options
- Flexible PTO
- 401(k) plan
- Comprehensive health, dental, and vision insurance coverage
- Collaborative and innovative company culture
Liberate Innovations Berkeley, California, USA Office
2120 University Ave, Berkeley, California, United States, 94704
Similar Jobs
eCommerce • Healthtech • Kids + Family • Retail • Social Media
As a Senior iOS Engineer at Babylist, you will enhance the iOS app that supports new families by building user-centered features, collaborating across teams, and optimizing app performance. You will apply AI to improve development speed, mentor peers, and drive architectural decisions.
Top Skills:
Ai ToolsAuto LayoutAWSCoreanimationFoundationMySQLRedisRuby On RailsSwiftSwiftuiUikitXctest
Cloud • Information Technology • Machine Learning
As a Senior Software Engineer on the Developer Experience team, you will drive architectural decisions, design systems for developer productivity, mentor engineers, and enhance the platform's capabilities to improve developer workflows and system reliability.
Top Skills:
Agent FrameworksAi-Assisted Developer WorkflowsBazelBuildkiteCi/CdCloudsmithGithub ActionsGoJfrog ArtifactoryKubernetesPython
eCommerce • Healthtech • Kids + Family • Retail • Social Media
As a Senior Software Engineer at Babylist, you will develop systems for a high-volume marketplace, collaborating on advertising, commerce features, and infrastructure while leading projects and improving processes with AI-driven methodologies.
Top Skills:
Ai Coding ToolsAWSDjangoJavaScriptMySQLNode.jsPythonReactRedisRuby On RailsSidekiq
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
