Software Engineer - Backend

Salary banding: £65,000 – £80,000 dependent on experience.

Working pattern: Hybrid; 1-2 days per week in the office.

Location: London.

About Our Engineering Team

As a business which has AI at its core, we need to have a reliable, scalable and secure real‑time ML platform to deliver our product to customers. The Engineering team makes this happen. The team is UK-based, with a significant contingent in London, and is made up of pragmatic, curious and collaborative problem‑solvers who are passionate about working with our Data Scientists to build state‑of‑the‑art AI products. Our Software Engineers bring together a diverse range of expertise and backgrounds; what unites us is a desire to learn, a mastery of our discipline and strong technical prowess.

Our engineers are responsible for all aspects of the software development lifecycle. You will get the opportunity to work across our entire stack building features which deliver AI capabilities to some of the biggest names in the insurance industry.

We are developing a modern real‑time ML platform using technologies like FastAPI, PyTorch, Ray, k8s (helm + flux), Terraform, Postgres, Flink on AWS, React & Typescript. We operate a fully Python stack except for frontend and infrastructure code. We are very big fans of Infrastructure‑as‑Code and enjoy Agile practices.

As a team, we’re driven by a relentless focus on delivering real value to customers at speed. We embrace modern engineering practices such as automated testing, continuous monitoring, feature flags, and on‑demand production‑like environments to support frequent, reliable releases.

Key Challenges

• Deploying all changes, including complex machine learning models, reliably to customers within 15 minutes
• Building a real‑time, configuration‑driven platform that seamlessly adapts to diverse customer needs
• Ensuring autoscaling and cost‑efficient model serving in production, with robust support for ML monitoring and experimentation
• Centralised reporting/metrics for both the business and our customers
• Powering user experience of internal and external users through agentic workflows

Role Summary

We are looking for an engineer passionate about developer enablement and infrastructure as code, who is eager to expand their expertise by contributing to impactful product features. You’ll play a key role in improving the lives of millions of insurance policyholders globally, working with a modern and powerful technology stack that includes:

• Python for application development
• Terraform for AWS infrastructure provisioning
• Kubernetes (with Helm and Flux) for managing services
• GitLab for CI/CD and version control
• AWS as our infrastructure platform
• PostgreSQL for application data and event sourcing architecture
• Apache Flink for real‑time service interactions and state management

Note: this is an overview of our stack; we do not require candidates to have experience with all of these technologies when joining the team!

Responsibilities

• Collaborate with Engineers, Product Managers, and the Engagement team to understand problem spaces, contribute to solution design, and support the development of our product.
• Take responsibility for maintaining and improving parts of our backend stack, following engineering best practices.
• Write robust and well‑tested code, including unit, integration, and end‑to‑end automated tests for backend services that power customer‑facing features.
• Participate in code reviews, share feedback with peers, and stay informed about emerging backend technologies and patterns.
• Contribute to platform‑related work, using infrastructure‑as‑code tools (AWS, Terraform, Kubernetes) to help keep our systems reliable and scalable.
• Support the growth of the team by sharing knowledge and collaborating closely with engineers and data scientists.
• Help improve engineering workflows and contribute ideas for refining team processes and delivery methods.
• Play a role in feature rollouts by using feature flags, monitoring metrics, and responding to logs and alerts.
• Embody and promote the Engineering and Sprout company values in your day‑to‑day work.

Requirements

• Technical proficiency
  • Solid proficiency in software architecture using Python and FastAPI.
  • Experience working in fully cloud‑hosted environments (e.g. AWS).
  • Solid RDBMS experience, preferably with PostgreSQL.
  • Experience building RESTful APIs (e.g. FastAPI) and real‑time data processing pipelines.
  • Bonus points for experience with Kubernetes, Apache Flink, Flux or Infrastructure‑as‑Code frameworks (e.g. Terraform).
• Experience of maintaining your own code in a production environment.
• A good foundational understanding of modern software development lifecycles, including code quality, pull requests, code reviews, CI/CD, QA, and production releases in an agile, fast‑paced environment.
• Strong problem‑solving skills with the ability to think critically and creatively.
• Collaborative by nature, with excellent communication and teamwork abilities.
• Self‑motivated, with a strong sense of ownership and accountability.

Sprout.ai Values

🌱 Hungry for Growth – Unleash your inner Sprout: Sprouts embrace growth, forget comfort zones, and help Sprout.ai thrive.

🚚 Own It, Deliver It – We commit, we deliver, and we exceed expectations – it\’s how we achieve outstanding outcomes for our customers.

🌳 Seed Innovation – The future is shaped by those who dare to innovate. We embrace this mindset, planting the seeds for future growth, experimenting fearlessly and taking bold actions that unleash our ability to scale.

🤝 Collaborate to Blossom – We cultivate collaboration, working together to create a vibrant and diverse ecosystem where every Sprout can thrive. It drives better results, and creates a better environment for us all.

Engineering Values

In addition to our company‑wide values, these are some of the values within the Engineering team that define how we work and grow together:

🔧 Value‑Driven Development – We avoid premature optimisation and focus on delivering value to our customers based on known requirements.

🚀 Proactive Mindset – We embrace the philosophy of asking for forgiveness rather than permission, encouraging innovation and swift action.

⚡ Efficient Decision‑Making – We optimise towards faster decision‑making processes, distinguishing between reversible (two‑way doors) and irreversible (one‑way doors) decisions.

🤝 Equality of Opportunity – We strive to provide equality of opportunity for all team members, regardless of title or position, fostering a collaborative and inclusive environment.

Compensation, Benefits And Perks

• Salary banding: £65,000 – £80,000 dependent on experience. Annual pay reviews.
• Sprout.ai Share Options
• 28 days’ annual leave (plus bank holidays)
• Hybrid working with 3 days per week working from home
• Private Health Insurance + Dental Insurance
• Learning and Development budget
• Monthly socials, both in London and Virtual
• WeWork perks – barista, social events, snacks etc.
• Macbook Pro + home working setup

About Sprout.ai

Founded in London in 2018, Sprout.ai was born from a simple belief: insurers should be there for policyholders in their time of need. Long delays, manual processes and outdated systems meant customers were often left waiting weeks for outcomes at their most vulnerable moments. We set out to change that.

Today, Sprout.ai is redefining insurance automation for insurers. Acting as the intelligence layer at the heart of operations, we bring advanced AI, digitisation, and data‑driven processes to transform how claims and underwriting decisions are made.

Our mission is to make every interaction between insurers and policyholders accurate, fast, and fair, and our vision is to become the world’s most trusted insurance intelligence partner, powering billions of safe, explainable decisions for global insurers.

Sprout.ai integrates seamlessly into systems to deliver real‑time claims automation and actionable insights, enabling expert teams to focus on complex cases with speed and empathy. Insurers use our platform to overcome legacy challenges, cost pressures, fraud risk, and regulatory demands, achieving tangible results including:

• Up to two‑thirds of claims processed automatically
• 99% accuracy
• Significant gains in customer satisfaction and operational efficiency

Backed by leading insurers and recognised with industry awards and ISO 27001 certification, Sprout.ai is the insurance intelligence automation platform injecting insights into claims and underwriting — changing insurance, for good.

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