Hybrid Senior Full Stack/AI Engineer – Backend Leaning

at AND Digital

• Job title: Senior Full Stack/AI Engineer – Backend Leaning
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Distributed Systems, DynamoDB, Google Cloud Platform, GraphQL, Java, JavaScript, Kafka, Microservices, Node.js, Python, Terraform, TypeScript, Go
• Location requirements: Hybrid, London, United Kingdom

About the role

• Senior Full Stack/AI Engineer at AND Digital focusing on backend engineering and AI integration. Building scalable systems and collaborating with clients to enhance digital delivery.

Responsibilities

• Strong hands‑on backend engineering experience, with depth in one or more of: Java, Node.js, TypeScript, Python or Go.
• Proven ability to design and build scalable, resilient, and maintainable backend systems.
• Hands‑on experience with AWS and understanding of cloud‑native patterns.
• Solid experience with Infrastructure as Code and CI/CD pipelines.
• Comfortable working across the stack, even contributing to frontend codebases.
• Demonstrates technical leadership and reviews designs.
• Strong grounding in system design and operational readiness.
• Able to take ownership of complex technical problems and make pragmatic decisions.
• Practical experience integrating AI into backend systems.
• Experience building AI-enabled systems from MVP to production-ready implementations.
• Comfortable advising clients on AI opportunities.
• Experience working in a consulting or client-facing environment.

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. Exposure to to GCP, Azure, or other Cloud Platforms would be a valuable plus.
• 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.
• Demonstrates technical leadership, shaping architectural direction, reviewing designs, and role‑modelling high‑quality engineering practices.
• 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.
• 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.

Benefits

• 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
• PLUS many more