Senior Full Stack Software Engineer - AI/ML Platforms

About Nyxium Nyxium is a London-based deep tech company backed by top-tier investors. We are building an agentic AI and geospatial intelligence platform that supports siting, permitting, impact assessment, and decision-making for complex infrastructure projects, including energy systems, data centers, and other critical infrastructure. Location London Right to work in the UK required (visa sponsorship considered on a case-by-case basis) Time Commitment & Working Arrangement This is a full-time position (40 hours per week). The role requires focused, dedicated commitment to Nyxium. External paid work, consulting, or freelance engagements outside Nyxium are not permitted during employment.Any academic affiliations, advisory roles, or unpaid activities must be disclosed and must not conflict with Nyxium’s work, priorities, or intellectual property.We value sustainable working practices and do not expect routine overtime, but we do expect full professional focus during agreed working hours. Role Summary We are hiring a Senior Full-Stack Software Engineer (AI / ML) to build and own Nyxium’s core application and ML integration layer. This role sits between: AI and ML systems (LLMs, NLP pipelines, decision logic)Backend services and APIsData and document workflowsUser-facing analytical and operational toolingYou will work directly with the founders and the Geospatial AI Engineer to turn advanced AI and spatial intelligence into robust, production-grade software that real teams depend on. This is a senior individual contributor role with strong architectural ownership. Key Responsibilities AI-Enabled Backend Systems Design and build backend services that integrate AI and ML workflows into production systemsDevelop APIs and orchestration layersEnsure AI outputs are traceable, explainable, and suitable for audit and regulatory reviewDevelop Retrieval-Augmented Generation (RAG) and LLM-based pipelines for data imputation, NLP analysis, and decision support. Document, Workflow & Platform Intelligence Build systems that process, normalize, classify, and enrich large volumes of structured and unstructured documentsImplement intelligent workflows for:Regulatory documentationCompliance evidence trackingDeveloper and user automationDesign pipelines that balance ML-driven inference with deterministic rules and safeguards Full-Stack Application Development Build and maintain user-facing applications that expose complex AI outputs in clear, actionable waysImplement interactive dashboards, workflow UIs, and operational toolsCollaborate on frontend architecture using modern frameworks (React / Next.js), with a focus on correctness and clarity rather than visual novelty Data & API Engineering Design schemas and APIs for systems that combine:ML outputsGeospatial attributesRegulatory and temporal dataWork with Postgres (PostGIS a plus), MongoDB, and analytical data storesBuild reliable async processing, background jobs, and batch pipelines Production Quality & Developer Experience Improve system reliability, testing coverage, and observabilityContribute to CI/CD pipelines and deployment workflowsRaise internal standards for code quality, documentation, and maintainabilityBuild systems that other engineers and stakeholders can confidently rely on Collaboration & Ownership Work closely with founders on roadmap execution and technical trade-offsCollaborate daily with the Geospatial AI Engineer to integrate spatial intelligence into the platformTake full ownership of major system components from design through deploymentContribute to technical decision-making as the platform scales Required Qualifications Education Both bachelor’s (from world top 100 universities) and master’s degree in computer science, Data Science, or a closely related fieldEquivalent industry experience considered Core Technical Skills Programming & Backend Strong Python experience in production systemsExperience with FastAPI, Flask, or similar frameworksExperience building ML-backed APIs and servicesAI / ML Integration Hands-on experience integrating ML or LLM systems into real applicationsFamiliarity with NLP pipelines, document processing, or AI workflowsUnderstanding of model lifecycle concerns such as versioning, latency, and reliabilityData & Platforms Experience with SQL and NoSQL databasesSchema design for complex, evolving data modelsExperience with background jobs, async workflows, and data pipelinesFrontend (Applied) Working knowledge of React and modern frontend patternsExperience building dashboards or analytical user interfacesCloud & Tooling Experience deploying systems on AWS and/or GCPFamiliarity with Docker, CI/CD, and production monitoring Experience 5+ years of professional experience in software engineering, data engineering, or ML-enabled systems5+ years of experience in geospatial analytics, applied ML and computer vision, including production systemsDemonstrated experience delivering end-to-end ML solutions in complex, real-world environmentsProven experience shipping production systems used by real usersComfortable operating in early-stage or high-ownership environments Preferred / Nice-to-Have Experience with geospatial data or spatial platformsExperience in environmental, infrastructure, healthcare, or regulated domainsExperience building internal tools, developer platforms, or workflow automation systemsBackground in developer experience or platform engineering What Success Looks Like You ship reliable, production-grade systems that form the backbone of the platformAI and ML capabilities are usable, trustworthy, and well-integratedDevelopers and users experience clear, stable workflows instead of brittle toolsYou raise the overall engineering bar through thoughtful system design and execution Compensation Salary and equity We offer above market, competitive salary (Up to £95,000 annual) and meaningful equity.Final offer depends on experience and scope of responsibility. Benefits Flexible, remote-first working arrangementPension contributions (UK auto-enrolment)Paid annual leave and UK public holidaysDirect access to founders and real influence over technical directionOpportunity to work on high-impact, technically challenging problems from the ground up Why Join Us You will build core systems, not surface featuresYour work will directly shape a category-defining platformYou will operate in a small, senior, high-trust technical teamYou will work on problems that matter in real regulatory and infrastructure contexts Please follow our LinkedIn page for more openings. Please feel free to reach out if you have any questions at heena@nyxium.ai