Back-end Engineer

🕒 June 11

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Magentic

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

Artificial Intelligence • SaaS • B2B

Magentic is an AI-agent platform that embeds autonomous, human-in-the-loop “Mages” into enterprise procurement and supply‑chain workflows to identify cost savings, surface contract and supplier errors, and take actions such as updating invoices or notifying suppliers. The platform integrates with ERPs and existing data stores, emphasizes security and compliance (ISO 27001, SOC 2, GDPR), and targets large manufacturers and enterprise procurement teams with a value-based pricing model focused on measurable savings.

📋 Description

• Design & build scalable, performant backend services and data pipelines • 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.

🎯 Requirements

• 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. • 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.

🏖️ Benefits

• 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