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Senior Full‑Stack/AI Engineer (Backend-leaning). AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We’ve been helping organisations build better digital products and stronger digital teams since 2014. We believe our work should always leave a legacy for the client. We do this through close relationships with our offices (or ‘Clubs’) so that our partners are always prioritized by a regional team close to them. This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014. Today we number more than 1,300 people with Clubs all over the UK and Europe with plans for global expansion in the next couple of years. Join us - and help us fulfil our mission to close the world’s digital skills gap.
Requirements:
Strong hands‑on backend engineering experience, with depth in one or more of: Java, Node.js, TypeScript, Python or Go, and the ability to work confidently across multiple languages when needed
Proven ability to design and build scalable, resilient, and maintainable backend systems, including REST/GraphQL APIs, event‑driven architectures, and distributed services
Hands‑on experience with AWS (Lambda, ECS, DynamoDB, SQS/SNS, API Gateway, Step Functions, etc.) and strong understanding of cloud‑native patterns
Solid experience with Infrastructure as Code (Terraform preferred), CI/CD pipelines, and modern deployment practices
Comfortable working across the stack, contributing to frontend codebases when needed, even though your strength lies in backend and systems engineering
Strong grounding in system design, including trade‑off analysis, performance considerations, observability, and operational readiness
Able to take ownership of complex technical problems, make pragmatic decisions, and clearly explain reasoning to both engineers and non‑technical stakeholders
Practical experience integrating AI into backend systems — e.g., orchestrating AI services, building AI‑powered workflows, or leveraging AI tools to improve engineering productivity
Experience building AI-enabled systems (including LLM- or RAG-based solutions) from MVP or proof-of-concept through to production-ready implementations, with consideration for reliability, evaluation, security, and maintainability
Understands where AI meaningfully enhances backend systems (e.g., classification, summarisation, anomaly detection) versus where traditional algorithms are more appropriate
Able to evaluate risk, cost, scalability, and maintainability when proposing AI‑driven solutions
Curious about emerging AI patterns, frameworks, and tooling, with the ability to apply them pragmatically in line with client needs
Comfortable advising clients on realistic AI opportunities and helping them navigate hype vs. practical value
Experience working in a consulting or client-facing environment, comfortable operating in ambiguous problem spaces and contributing to both solution discovery and delivery
Able to balance client outcomes, commercial considerations, and technical integrity, adapting approach and communication style depending on context
Acts as a trusted technical partner within delivery teams and with clients, influencing outcomes through clarity, pragmatism, and credibility
Nice to have:
Experience with high‑scale distributed systems, event streaming (Kafka, Kinesis), or microservices
Exposure to serverless architectures, container orchestration or hybrid cloud environments
Familiarity with security best practices, including IAM, secrets management, and secure API design
Exposure to GCP, Azure, or other Cloud Platforms would be a valuable plus
What we offer:
25 days holiday allowance + bank holidays
2 days per year for volunteering
Share scheme
A £1000 flexifund to use on a personalised list of benefits such Gym membership, Cycle to Work Scheme, Health, dental and optical cash plan
Opportunities to work on projects with big clients and the chance to produce meaningful work that makes a difference to people’s lives
A “Blended Working” model, meaning you will be able to work in a range of locations from
your home, in your clubhouse, on a client, as well as just a change of scenery
A dedicated career scrum team, designed to help you reach your career goals and develop the skills you need to be your best self
An annual budget for training and upskilling, including allocated days off so you don’t have to study in your own free time
Monthly and quarterly team socials - on us - ranging from after work drinks, to driving experience days with your fellow club members
A safe environment for you to be yourself and challenge yourself