{"id":816187,"url":"https://alion.io/job/magentic-back-end-engineer","title":"Back-end Engineer","company":{"id":679690,"name":"Magentic","domain":"magentic.com","url":"https://alion.io/company/magentic","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-05T05:45:15Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":125000,"max":140000,"currency":"GBP","period":"year","gross":null,"usd_annual":185457},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GraphQL","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"LLM","optional":true},{"name":"OpenAI","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-06-11T10:03:04Z","employer_posted_date":"2026-06-11","last_verified_at":"2026-10-06T00:35:40Z","board_verified":true,"closed_at":null,"days_open":116,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":115},"description":"The Role\nWe 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.\nOur 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.\nYou’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.\nWhat You’ll Do\nDesign & build scalable, performant backend services and data pipelines - written in Python and deployed with Docker & Kubernetes.\n\nIntegrate with enterprise ecosystems - enterprise software systems such as SAP and Oracle ERP, GraphQL/REST APIs, SFTP feeds, and event buses (Kafka, Pulsar).\n\nWrangle large, heterogeneous data sets - model, transform, and index multi-modal, multi-terabyte enterprise datasets for advanced workloads\n\nDevelop enterprise-level next generation AI systems with the support of Magentic’s AI specialists\n\nShip complete customer features - from architecture and code to CI/CD, infra-as-code (Terraform), rollout, and user training.\n\nCollaborate directly with executives & operators - run white-boarding sessions, turn ambiguous requirements into concrete specs, demo weekly, and iterate fast.\n\nChampion observability & reliability - instrument services with OpenTelemetry, define SLIs/SLOs, and automate incident response.\n\nContribute across the stack - build lightweight front-ends when needed and pair with ML engineers on inference and evaluation pipelines.\n\nYou Might Be a Great Fit if You\nHave 6+ years of professional software-engineering experience.\n\nAre fluent in Python and comfortable in TypeScript/JavaScript.\n\nHave built and operated data-intensive systems (batch & streaming) in a cloud environment (AWS, GCP, or Azure).\n\nKnow your way around relational, columnar, and KV/graph databases - and when to use which.\n\nHave integrated with real-world enterprise stacks - authentication, SSO, legacy ERPs, message queues, ETL tools.\n\nCan take a loosely defined problem, sketch an architecture, and deliver a production-ready solution in weeks, not months.\n\nCommunicate clearly with both engineers and business stakeholders; you enjoy hopping on a customer call to debug an API contract.\n\nThrive in an early-stage, high-ownership environment - prototype today, deploy tomorrow, iterate next week.\n\nBonus Points\nExperience 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.\n\nFamiliarity with supply-chain, procurement, or manufacturing domains.\n\nCompensation And Benefits\n At Magentic, we recognise and reward the talent that drives our success. We offer:\nCompetitive Equity: play a real part in Magentic’s upside\n\nA salary of £125,000 - £140,000 per annum\n\nVisa sponsorship available\n\nIn-office lunches provided\n\nMonthly organised socials and an additional flexible monthly social budget for team lunches, coffees, dinners, or activities with colleagues\n\nSalary sacrifice pension and nursery schemes\n\nHybrid London HQ (3 days in the office/customer site)\n\nAnnual team retreat-a fully-funded off-site to recharge, bond, and build\n\nOur interview process\n We can move quickly through these stages, so let us know if you have any timelines we need to meet.\nInitial 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.\n\nPaired programming interview (45 mins): we'll give you an exercise to demonstrate the key skills for the role.\n\nIn-person interview: for the final step, we invite you to come meet the team in-person and work alongside us! We find this is the best way for candidates to get a sense of what working at Magentic is like. This will include a culture interview, a founder interview and skills-based interview(s) with the team.\n\nEqual Opportunities and Accommodations Statement\nAt 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.\nMagentic 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 viewpoints, recognising that this leads to better ideas, stronger collaboration and better outcomes for our customers therefore we strongly encourage applications from all backgrounds and cultures to apply.\nWe recognise that some groups remain underrepresented within the industry and are committed to creating an environment that celebrates and supports everyone.\nEveryone works differently, and we want to ensure our interview process gives you the best chance to show us what you can do. If you require any reasonable adjustments or accommodations, please let us know and we'll work with you to make the process accessible.\nResponsible AI Statement\n At Magentic, we are committed to developing artificial intelligence that benefits humanity. We push the limits of AI's capabilities and are dedicated to its responsible and safe deployment. Recognising the profound impact of AI, we ensure that its development is centred around human needs and safety, incorporating a wide array of perspectives to fulfil our mission.","description_format":"text","description_chars":6011,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Agents","Supply Chain AI"],"lifecycle":[{"event":"open","at":"2026-09-12T11:14:23Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.42,"p_room":0.28,"age_days":115,"expected_fill_days":41,"reasons":["conf:2","velocity","win:tail","crowd:"],"computed_at":"2026-10-05T05:45:15Z"},"pay":{"stated_usd_annual":185457,"is_top_pay":true},"html_url":"https://alion.io/job/magentic-back-end-engineer","json_url":"https://alion.io/job/magentic-back-end-engineer.json","meta":{"generated_at":"2026-10-06T01:51:24Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2691,"day_limit":5000,"remaining_today":2309,"minute_limit":60,"resets_at":"2026-10-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":679690},"rest":"https://alion.io/mcp/rest/get_company?id=679690"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmagentic-back-end-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmagentic-back-end-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmagentic-back-end-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/magentic-back-end-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmagentic-back-end-engineer"}]}