Associate Software Engineer - (Graduate)

Crane Venture Partners; City Of London; On-site; GBP 30,000 - 45,000; Full time

Job summary

A leading AI technology company in London is seeking passionate graduate software engineers to build impactful products. You will join a dynamic team dedicated to creating AI infrastructure, working collaboratively on exciting projects from day one. Ideal candidates are eager learners with a degree in a relevant field and programming experience in languages like Python or JavaScript. This role offers an opportunity for growth in a rapidly expanding startup.

Benefits

Competitive salary

Commission and equity

Opportunities for growth

Strong in-person culture

Qualifications

• Currently pursuing or have a degree in a technical field.
• Proficient in one or more programming languages.

Responsibilities

• Join a collaborative team to build AI infrastructure.
• Work on scalable solutions with significant customer impact.

Skills

Proficient in programming languages

Curiosity

Motivated by impact

Collaborative

Education

Bachelor’s or Master’s in Computer Science, Physics, Engineering, Mathematics or related field

Tools

Python

Typescript

React

Kubernetes

GCP

Job description

Overview

About Encord

At Encord, we are building the AI infrastructure of the future. Data quality is a key challenge for AI products, and we’re focused on tools that improve the quality of training data while reducing cost and time. Our team combines backgrounds in computer science, physics, and quantitative fields, and we are growing to accelerate our product and help customers succeed.

We are a team of 100+ and have raised $30M in Series B funding from investors including CRV and Y Combinator. This is a full-time role starting in June or September 2026 depending on graduation dates.

Who we are looking for

We’re seeking curious, ambitious graduates who want to start their software engineering careers and make an impact from day one. You’ll join a small, highly collaborative team that is building the next generation of AI infrastructure around June/September 2026 as part of a tight-knit squad.

At Encord, you’ll work with serial founders, ex-computer scientists, physicists, and quants who care deeply about building great products and shipping fast. We’re looking for graduate full-stack engineers, whether you’re more front-end or back-end leaning, who are passionate about solving real customer problems and thrive in autonomous squads of 4–5 people.

Encord is growing rapidly and your contributions will have a real, visible impact at a crucial stage of expansion for the company, product, and team. If you’re finishing university and seeking your first full-time engineering role where you can learn fast, build meaningful products, and grow with an exceptional team, Encord could be the perfect place for you.

What to expect

High performing team: You’ll join a small, highly capable team whose product is loved by customers and rated best in the market. Members bring experience from Big Tech and startups, and each person contributes strongly.

Impact: Your work will have direct and tangible impact for customers and influence the company trajectory.

End-to-end ownership: You will own your projects from product and design decisions through deployment, monitoring, and measuring impact. You’ll work across the stack, from deployment to styling, and are encouraged to take initiative and seek improvements.

Autonomy and collaboration: You’ll often work autonomously while collaborating with a lean, high-trust team to solve challenging problems together. You will learn from teammates who help you grow.

Scale and simplicity: You’ll tackle complex domains and large-scale problems with simple, effective solutions.

About You

Eager to learn and grow: You’ve built small projects, coursework, or personal apps and are excited to apply what you’ve learned to real-world systems. You’re curious about building reliable, high-performance software and eager to learn from experienced engineers.

Motivated by impact: You want your work to make a meaningful difference and contribute to products used by real people.

A natural builder: You enjoy creating things from the ground up, whether writing code, designing systems, or experimenting with new technologies. You’re comfortable across the stack and love solving problems.

Comfortable with ambiguity: You don’t need every detail defined before you start. You learn as you go and use feedback to guide your work.

Collaborative and supportive: You value teamwork, communication, and helping others succeed. You take feedback well and contribute to a positive, high-performing team culture.

Qualifications

• Currently pursuing or holding a Bachelor’s or Master’s degree in Computer Science, Physics, Engineering, Mathematics, or a related technical field, or have gained equivalent expertise through coding bootcamps or relevant work experience.
• Proficient in one or more programming languages such as Python, Go, C#, C++, Java, Ruby on Rails, or JavaScript.

Tech stack

We are technology agnostic. We are not looking for you to have experience in all technologies; open to learning is key.

• Backend: Python
• Frontend: Typescript and React
• Kubernetes for deployment
• GCP for underlying infrastructure

We encourage people from all backgrounds, cultures and skill levels to apply. It is okay not to meet all requirements listed as we are looking for individuals who are passionate and eager to learn.

What We Offer

• Competitive salary, commission and equity in a hyper-growth business.
• Strong in-person culture: most of our team is in the office 3+ days a week.
• Room to grow into anything you choose to — a year ago we were 50 people, now we are 100+.
• Huge growth opportunities over the next 24 months, with up to 25 days of annual leave plus public holidays.
• Be part of a startup with a clear mission and vision, exploring and building enterprise AI use cases across industries such as healthcare, surveillance, retail, agriculture, and more.
• Work at the cutting edge of computer vision and deep learning, solving unsolved problems in the field.