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About the Role

We are looking for brilliant engineers to join our team at Magentic, pushing the boundaries of AI with next-generation agentic systems for supply chains and procurement. Our mission is to make global manufacturing supply chains robust and harness generative AI through thoughtful, ethical, and safe deployment. You will own full-stack features end-to-end, focusing on enterprise data requirements, collaborating with customer teams to architect data pipelines and APIs, and fueling our AI with real-world data. This is an AI-first company at the forefront of agentic systems where you will shape solutions and grow your AI skills.

Responsibilities

Design and build scalable, performant backend services and data pipelines using Python, Docker, and Kubernetes.
Integrate with enterprise ecosystems, including SAP, Oracle ERP, GraphQL/REST APIs, SFTP feeds, and event buses (Kafka, Pulsar).
Model, transform, and index multi-modal, multi-terabyte enterprise datasets for advanced workloads.
Develop enterprise-level next-generation AI systems with support from AI specialists.
Ship complete customer features, including architecture, code, CI/CD, infrastructure-as-code (Terraform), rollout, and user training.
Collaborate with executives and operators, run white-boarding sessions, define specifications, demo weekly, and iterate quickly.
Champion observability and reliability by instrumenting services with OpenTelemetry, defining SLIs/SLOs, and automating incident response.
Contribute across the stack, building front-ends when necessary and pairing with ML engineers on inference and evaluation pipelines.

Requirements

6+ years of professional software engineering experience.
Fluent in Python and comfortable in TypeScript/JavaScript.
Experience building and operating data-intensive systems (batch & streaming) in a cloud environment (AWS, GCP, or Azure).
Proficiency with relational, columnar, and KV/graph databases and their appropriate use cases.
Experience integrating with real-world enterprise stacks, including authentication, SSO, legacy ERPs, message queues, and ETL tools.
Ability to take a loosely defined problem, sketch an architecture, and deliver a production-ready solution rapidly.
Clear communication skills with both engineers and business stakeholders.
Thrive in an early-stage, high-ownership environment with rapid prototyping and deployment cycles.

Skills

Python
TypeScript
JavaScript
Docker
Kubernetes
SAP
Oracle ERP
GraphQL
REST APIs
SFTP
Kafka
Pulsar
AWS
GCP
Azure
Terraform
OpenTelemetry
LLM-powered services
RAG
Vector stores

Location

London HQ

Work Type

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

Experience Level

6+ years of professional software engineering experience

Salary/Compensations

£115,000 - £125,000 per annum

Benefits

Competitive Equity
Visa sponsorship available
In-office lunches provided
Monthly organised socials
Flexible monthly social budget
Salary sacrifice pension
Salary sacrifice nursery schemes
Annual team retreat

About the Company

Magentic is pushing the boundaries of AI with next-generation agentic systems that can manage entire workflows, 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.
We are committed to developing artificial intelligence that benefits humanity, ensuring its development is centred around human needs and safety, incorporating a wide array of perspectives.

Equal Opportunity

Magentic is committed to creating a truly inclusive team and is a proud equal-opportunity employer.
We are intentional about building teams with a broad range of backgrounds, experiences, and viewpoints.
We strongly encourage applications from all backgrounds and cultures.
We are committed to creating an environment that celebrates and supports everyone.
We will work with you to make the interview process accessible if you require any reasonable adjustments or accommodations.