Back-end Engineer

External

Magentic · London, UK

Full-timeRemoteToday

AWSAzureCI/CDDockerETLGCP

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About the role

We are looking for brilliant engineers to join our team at Magentic. We're pushing the boundaries of AI with next-generation agentic systems that can manage entire workflows. We're focusing on a three trillion dollar market of supply chains and procurement. Our mission is to make global manufacturing supply chains robust to an ever-changing world, and to harness the potential of generative AI through thoughtful deployment, maximising benefits while prioritising ethical use and safety. You'll own full-stack features end-to-end, with a focus on building for enterprise data requirements. You will collaborate closely with customer teams to architect and implement sophisticated data pipelines and APIs, directly fueling our cutting-edge agentic AI with terabytes of real-world supply chain data. You will be instrumental in shaping solutions for enterprise clients, all while learning and growing your AI skills in a truly AI-first company at the forefront of agentic systems.

Responsibilities

Design & build scalable, performant backend services and data pipelines

written in Python and deployed with Docker & Kubernetes.

Integrate with enterprise ecosystems - enterprise software systems such as SAP and Oracle ERP, GraphQL/REST APIs, SFTP feeds, and event buses (Kafka, Pulsar).

Wrangle large, heterogeneous data sets - model, transform, and index multi-modal, multi-terabyte enterprise datasets for advanced workloads

Develop enterprise-level next generation AI systems with the support of Magentic's AI specialists

Ship complete customer features - from architecture and code to CI/CD, infra-as-code (Terraform), rollout, and user training.

Collaborate directly with executives & operators - run white-boarding sessions, turn ambiguous requirements into concrete specs, demo weekly, and iterate fast.

Champion observability & reliability - instrument services with OpenTelemetry, define SLIs/SLOs, and automate incident response.

Contribute across the stack - build lightweight front-ends when needed and pair with ML engineers on inference and evaluation pipelines.

You Might Be a Great Fit if You

Have 6+ years of professional software-engineering experience.

Are fluent in Python and comfortable in TypeScript/JavaScript.

Have built and operated data-intensive systems (batch & streaming) in a cloud environment (AWS, GCP, or Azure).

Know your way around relational, columnar, and KV/graph databases - and when to use which.

Have integrated with real-world enterprise stacks - authentication, SSO, legacy ERPs, message queues, ETL tools.

Can take a loosely defined problem, sketch an architecture, and deliver a production-ready solution in weeks, not months.

Communicate clearly with both engineers and business stakeholders; you enjoy hopping on a customer call to debug an API contract.

Thrive in an early-stage, high-ownership environment - prototype today, deploy tomorrow, iterate next week.

Bonus Points

Experience deploying or consuming LLM-powered services (OpenAI, open-source models, RAG, vector stores) can be a bonus. However, we consider many great candidates without previous AI experience.

Familiarity with supply-chain, procurement, or manufacturing domains.

Compensation And Benefits

At Magentic, we recognise and reward the talent that drives our success. We offer:

Competitive Equity: play a real part in Magentic's upside

A salary of £115,000 - £125,000 per annum

Visa sponsorship available

In-office lunches provided

Monthly organised socials and an additional flexible monthly social budget for team lunches, coffees, dinners, or activities with colleagues

Salary sacrifice pension and nursery schemes

Hybrid London HQ (3-4 days in the office/customer site)

Annual team retreat-a fully-funded off-site to recharge, bond, and build

Our interview process

We can move quickly through these stages, so let us know if you have any timelines we need to meet.

Initial call (30 mins): this first step is an opportunity for you to hear more about Magentic and the role, and for us to learn more about how your experience aligns with the role.

Paired programming interview (45 mins): we'll give you an exercise to demonstrate the key skills for the role.

Equal Opportunities and Accommodations Statement

At Magentic, our mission is to build AI that helps solve some of the world's most complex real world problems. We believe building a diverse workforce will be the key to solving this for our customers.

Magentic is committed to creating a truly inclusive team and we're proud to be an equal-opportunity employer. As we grow, we're intentional about building teams with a broad range of backgrounds, experiences and viewp

Back-end Engineer

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