Senior Full-Stack Software Engineer (AI / ML Platforms)

Nyxium is a deep tech company building an agentic AI and geospatial intelligence platform for complex infrastructure projects. The Senior Full-Stack Software Engineer will build and own the core application and ML integration layer, including AI-enabled backend systems, APIs, data and document workflows, and user-facing analytical tools. The role also involves architectural ownership, production quality, and collaboration with founders and the Geospatial AI Engineer.

Responsibilities:

• Design and build backend services that integrate AI and ML workflows into production systems
• Develop APIs and orchestration layers
• Ensure AI outputs are traceable, explainable, and suitable for audit and regulatory review
• Develop Retrieval-Augmented Generation (RAG) and LLM-based pipelines for data imputation, NLP analysis, and decision support
• Build systems that process, normalize, classify, and enrich large volumes of structured and unstructured documents
• Implement intelligent workflows for:
• Regulatory documentation
• Compliance evidence tracking
• Developer and user automation
• Design pipelines that balance ML-driven inference with deterministic rules and safeguards
• Build and maintain user-facing applications that expose complex AI outputs in clear, actionable ways
• Implement interactive dashboards, workflow UIs, and operational tools
• Collaborate on frontend architecture using modern frameworks (React / Next.js), with a focus on correctness and clarity rather than visual novelty
• Design schemas and APIs for systems that combine:
• ML outputs
• Geospatial attributes
• Regulatory and temporal data
• Work with Postgres (PostGIS a plus), MongoDB, and analytical data stores
• Build reliable async processing, background jobs, and batch pipelines
• Improve system reliability, testing coverage, and observability
• Contribute to CI/CD pipelines and deployment workflows
• Raise internal standards for code quality, documentation, and maintainability
• Build systems that other engineers and stakeholders can confidently rely on
• Work closely with founders on roadmap execution and technical trade-offs
• Collaborate daily with the Geospatial AI Engineer to integrate spatial intelligence into the platform
• Take full ownership of major system components from design through deployment
• Contribute to technical decision-making as the platform scales