Salary banding: £74,000 - £104,000 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 presence 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 React, Typescript, PyTorch, Ray, k8s (helm flux), Terraform, Postgres and Flink on AWS. 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. Our team is tackling several exciting challenges, including: 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 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 Responsibilities Work with different stakeholders across the business like engineers, product, engagement team to understand a problem space within your area, propose solutions, and own the end to end delivery of complex projects. Own and maintain specific parts of our stack with best in class engineering practices. Write comprehensive unit, integration and end-to-end automated tests in the backend for customer-facing features. Lead on platform-facing work, using infrastructure-as-code (AWS, terraform, k8s) to ensure our platform is reliable and scalable. Take a lead in code reviews, provide constructive feedback, and keep to date with latest trends in the industry. Provide mentoring to other members of the Engineering and Data Science teams. Lead in the continuous improvement of the processes and ways of working for the engineering team. Manage feature rollouts with multiple releases per day by utilising feature flags, metrics, logs and alerting. Champion the Engineering and Sprout company values Requirements Technical proficiency Strong experience working in fully cloud-hosted environments (e.g., AWS) along with Infrastructure-as-Code frameworks (e.g., Terraform) and Kubernetes. Strong proficiency in software architecture using Python or similar backend programming languages Solid RDBMS experience, preferably with PostgreSQL Experience building RESTful APIs (e.g. FastAPI) and real-time data processing pipelines Bonus points for experience with Apache Flink and Flux Deep 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: £74,000 - £104,000 dependent on experience. Annual pay reviews. Sprout.ai Share Options 28 days’ annual leave (plus bank holidays) Hybrid working with up to 4 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 Sprout.ai was established in London, UK in 2018 with a mission to help people in their time of need when making an insurance claim. Inefficient claims processing for the insurer meant that customer experience was suffering and people were losing faith in their insurance policies. The average insurance customer was having to wait over 25 days to receive an outcome on their claim, often in times of vulnerability. The barriers to rapid claims settlement were clear; understanding of unstructured data, complexity and volume of decision making, legacy systems and processes. Sprout.ai’s patented claims automation platform solves these challenges, and has already delivered instant claims settlement on millions of insurance claims around the world. Our proprietary AI products can automate every step of the claims journey: extracting and enhancing relevant claims data, cross-checking this with policies and providing recommendations to conclude a claim in near real-time. Our tools are allowing claims handlers to spend more time with customers, where human touch and empathy can make the most difference to their customers. Leading VCs saw our company vision to ‘make every claim better’ and have supported our growth journey. This includes our $11M Series A led by Octopus Ventures in 2021 and in total we have raised over $20M.
