Forward-Deployed Software Engineer
Forward-Deployed Software Engineer
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Job Description
We are looking for brilliant engineers to join our team at Magentic. Were pushing the boundaries of AI with next-generation agentic systems that can manage entire workflows. Were 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.
Forward-Deployed Engineers sit at the intersection of product engineering and customer success. Youll 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.
Tasks
What Youll Do
- Design & build scalable backend services and data pipelines - written in Python and deployed with Docker & Kubernetes.
- Integrate with enterprise ecosystemsenterprise software systems such as SAP and Oracle ERP GraphQL/REST APIs SFTP feeds and event buses (Kafka Pulsar).
- Wrangle large heterogeneous data setsmodel transform and index multi-modal multi-terabyte enterprise datasets for advanced workloads
- Develop enterprise-level next generation AI systems with the support of Magentics AI specialists
- Ship complete customer featuresfrom architecture and code to CI/CD infra-as-code (Terraform) rollout and user training.
- Collaborate directly with executives & operatorsrun white-boarding sessions turn ambiguous requirements into concrete specs demo weekly and iterate fast.
- Champion observability & reliabilityinstrument services with OpenTelemetry define SLIs/SLOs and automate incident response.
- Contribute across the stackbuild lightweight front-ends when needed and pair with ML engineers on inference and evaluation pipelines.
Requirements
You Might Be a Great Fit if You
- Have 4 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 databasesand when to use which.
- Have integrated with real-world enterprise stacksauthentication 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 environmentprototype 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.
Benefits
Compensation and Benefits
At Magentic we recognise and reward the talent that drives our success. We offer:
- Competitive Equity: play a real part in Magentics upside.
- A salary of 00
- Visa sponsorship (Note we are only accepting candidates who are currently based in the UK.)
- Hybrid London HQ (3-4 days in the office) with remote flexibility.
- Annual team retreata fully-funded off-site to recharge bond and build.
Our interview Process
We run a lightweight interview process of three stages. These are:
- Initial candidate screening (30 mins): this first step is an opportunity for us to learn more about your goals interests and how they align with the role.
- Design interview with the CTO (45 mins): in this step we present you with real problems Magentic encounters and we ask you to design a solution in a whiteboarding exercise.
- In-person interview (half-day paid): 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.
About Magentic
At Magentic we are committed to developing artificial intelligence that benefits humanity. We push the limits of AIs 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. We bring expertise from OpenAI NASA and McKinsey and were backed by the best venture funds in the world.
We cant wait to have you on board.
Magentic Equal Opportunities Statement
Magentic is committed to creating a diverse and inclusive workplace and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race colour religion gender gender reassignment marital or civil partnership status age disability pregnancy or maternity or any other basis as protected by the Equality Act 2010.
We actively encourage applications from candidates of all backgrounds and cultures and believe a diverse workforce enhances our ability to deliver innovative solutions. We also ensure that our employment decisions are based solely on individual qualifications merit and business needs.
Magentic Accommodations for Applicants with Disabilities
Magentic is dedicated to providing reasonable accommodations to job applicants with disabilities. If you require any adjustments during the recruitment process please indicate this in your application or contact us directly.
Employment Type
Full Time
