Magentic
AI
Back-endEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Back-end Engineer at Magentic. Skills: Backend services, Data pipelines, Agentic AI. Design scalable backend services. Build scalable backend services”
What You'll Achieve.
Make supply chains robust; Harness generative AI potential; Maximise AI benefits; Prioritise ethical AI use; Prioritise AI safety
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
6+ years of professional software-engineering experience, Fluent in Python, Comfortable in TypeScript/JavaScript, Built and operated data-intensive systems, Integrated with real-world enterprise stacks, Can sketch an architecture, Deliver a production-ready solution, Communicate clearly with engineers and business, Enjoy debugging an API contract, Thrive in an early-stage, high-ownership environment
Nice to Have
Experience deploying LLM-powered services, Experience consuming LLM-powered services, Familiarity with supply-chain domains, Familiarity with procurement domains, Familiarity with manufacturing domains
What You'll Do.
Design scalable backend services
Build scalable backend services
Design data pipelines
Integrate with enterprise ecosystems
Wrangle large datasets
Model enterprise datasets
Transform enterprise datasets
Index enterprise datasets
Ship customer features
Automate incident response
Build lightweight front-ends
Pair with ML engineers
How You'll Work.
Team & Collaboration
Customer teams; AI specialists; Executives and operators; Cross-functional teams
Communication Scope
Customer calls; White-boarding sessions
Process & Methodology
Infra-as-code, CI/CD
Full Job Description
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. What You’ll Do - 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
Applying for this Back-end Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Ashby
- Ashby is a fast modern ATS — most applications take under 3 minutes.
- The resume parser is strong; verify parsed experience dates and job titles.
- Custom screening questions are often scored algorithmically — answer completely.
- Location field affects geo-based screening; use your actual metro area.
ANONYMOUS · UNFILTERED
What do employees actually say about Magentic?
Real rants from real employees. Read before you apply.