Top Artificial Intelligence Software Engineer Jobs

Lead the company’s technical vision, build and scale its technology platform, define software architecture and product design, manage a technical team, and contribute to strategic decisions and business development. This remote, full-equity role requires entrepreneurial leadership until funding or paying customers are secured.

Build services, APIs, and pipelines for an infrastructure design model; ship generative automation for layouts, routings, and configs; integrate CAD/BIM/PLM toolchains; manage model data at scale including versioning, validation, and queryability; work closely with engineering users and vendor APIs.

Develop and support custom SAP ABAP solutions for manufacturing and shop-floor environments. Build RICEFW objects, integrations, and extensions across SAP PP, QM, PM, S/4HANA, execution systems, and third-party machinery. Translate factory-floor requirements into technical designs, support ERP modernization and go-live activities, troubleshoot production issues, optimize batch jobs, and enhance Fiori/UI5 interfaces.

Build and deploy production software directly with customers across frontend, backend, infrastructure, and AI systems. Translate ambiguous needs into technical designs, prototype rapidly, and own solutions from discovery through operation. Identify platform improvements from customer usage, debug complex cross-system issues, and help establish the Forward Deployed Engineering function’s standards and practices. Contribute to product strategy, architecture, and foundational engineering decisions.

Build full-stack growth products, automations, viral loops, teacher-retention features, and STEM learning modalities. Independently design, launch, measure, and iterate experiments to accelerate teacher adoption. The role also supports curriculum expansion, operational initiatives, and navigating education-system requirements. Candidates should bring strong full-stack development ability, rapid experimentation skills, data analysis, automation experience, urgency, and willingness to work in person in New York City.

Own and evolve a production platform spanning backend services, AWS infrastructure, iOS, and web applications. Scale multi-tenant systems, improve reliability of LLM-powered features, implement security and privacy controls, integrate customer tools, and guide decisions on refactoring or replacing existing systems. The role requires strong backend or infrastructure ownership, production LLM experience, AWS expertise, clear documentation, and collaboration with technical and scientific stakeholders.

Build and maintain scalable full-stack applications using Python, FastAPI, PostgreSQL, MongoDB, React, and TypeScript. Develop secure REST APIs, responsive interfaces, asynchronous services, and GenAI-powered features such as LLMs, AI agents, RAG, knowledge bases, and semantic search. Containerize and deploy applications with Docker and AWS while owning features through development, deployment, and monitoring.

Lead AWS architecture across multiple projects, owning cloud solution design, infrastructure, security boundaries, data platforms, and AI integrations. Establish Infrastructure as Code and engineering standards, conduct code reviews, mentor developers, estimate work, and guide agile teams. Translate technical trade-offs into business value, document designs, assess deliverables before deployment, and support production-grade delivery using serverless, data, and machine learning technologies.

Build Belisar’s platform as a full-stack engineer, owning features from architecture through delivery. Develop React and TypeScript interfaces, Python/Django backends, PostgreSQL data systems, AWS infrastructure, CI/CD, data pipelines, and applied ML/LLM capabilities. Work directly with customers and the founding team in a 0-to-1 environment, make architecture decisions, translate ambiguous problems into technical plans, and ship production-ready software quickly.

Develop Java-based applications using modern software engineering practices. Responsibilities include writing high-quality code, developing APIs, working with relational databases, applying object-oriented programming, collaborating with engineering teams, and supporting DevOps practices. The role offers mentorship and professional growth in an on-site or hybrid environment.