Member of Technical Staff - Software Engineer
- Market p25–p75
- £125k–£193k
- Opened · 30d
- +0
- Closed · 30d
- −0
- Opened · 7d
- +5055% of open
- All software engineering
- 75,193open
About Tessl
AI is transforming how software is built, and at Tessl, we're building the infrastructure for what comes next.
We're developing a platform that enables engineering teams to build and run AI-powered software factories, where coding agents take on real development work, from picking up engineering tickets to implementing changes and creating pull requests.
By combining structured context, reusable agent skills, automated workflows and evaluations, we're making AI-powered development more reliable, repeatable and scalable, while keeping humans in control. We're tackling some of the biggest challenges in autonomous software development, from code quality and security to helping organisations confidently adopt AI agents at scale.
Founded by Guy Podjarny, previously founder of Snyk, Tessl is a fast-growing Series A startup backed by over $100 million in funding from investors including Index Ventures, Accel, GV and Boldstart.
Joining Tessl means helping define an entirely new category of technology, solving ambitious technical challenges and shaping the future of software development.
OVERVIEW OF THE ROLE
Join our engineering team to build real-time AI Native workflows, tooling, and interfaces that will reshape how developers create and maintain software.
As a Software Engineer, you’ll be versatile and independent, excited to work with cutting-edge AI tools to build great products. We move quickly, but with purpose - balancing speed with collaboration and thoughtful execution. You’ll collaborate closely with product, design, and the wider Engineering team to bring AI Native development to life in a fast-paced, high-trust environment.
WHAT YOU'LL DO
No two days will be the same at Tessl! You’ll have a high level of autonomy and be able to make decisions based on what you believe will help you deliver the most success. Here’s an insight into just a few of the things you would be doing:
Design and implement new functionality that you discussed and reviewed with the product team
Spin up a proof of concept to showcase an innovative idea you’ve been thinking about
Rapidly prototype a new language integration for our code generation pipeline, then develop a plan for a scalable implementation.
Pair with a designer to fine-tune interactions in the UI, CLI or existing AI coding agents, making the user experience more intuitive and slick
Integrate a third-party service, e.g. for notifications, so we can focus our own cycles on Tessl’s core capabilities
Collaborate with other teams to plan an architecture that supports collaboration across the platform
Establish an end-to-end testing strategy to increase our confidence when deploying new features to production
Share your technical vision for a new product capability you’ll be leading with the wider engineering team for feedback and alignment
WHAT WE'RE LOOKING FOR
Essential
Proven experience (typically 5+ years or equivalent) as a Software Engineer. You care about code modularity, structure and aesthetics and have firsthand experience in how software is built across teams and environments
Equally comfortable contributing to a mature codebase with strict CI criteria or hacking up a quick prototype to prove/disprove an assumption
Proven experience leveraging the best AI coding tools and agents to accelerate and enhance your own work and efficiency
Comfortable with fast-paced, high-autonomy environments: you’ve ideally thrived in an early-stage startup before
You have demonstrated usage of AI tools in your day-to-day work, and be excited about experimenting, learning, and harnessing the potential of new AI tools and approaches to transform software engineering
Nice to have
Background in AI products or developer tools
Experience in rapid prototyping environments
Programming polyglot experienced in several languages of different paradigms (e.g.: JavaScript/TypeScript, Python, C or C++, Haskell, etc.)
Experience collaborating with AI researchers and bridging between research-focused and engineering-focused teams
Experience building & scaling REST APIs, particularly those conforming to JSON:API