Top Artificial Intelligence Software Engineer Jobs

Develop and test production-quality autonomy software for embedded uncrewed multi-vehicle systems and autonomous flight in complex environments. Responsibilities include software architecture, AI/ML and robotic planning integration, unified software architecture development, system integration, technical presentations, and collaboration with multidisciplinary engineering teams. The role may involve occasional travel to remote test events and requires obtaining and maintaining a U.S. Department of Defense security clearance.

Designs and maintains Python-based automation frameworks for global data center network provisioning and lifecycle management. Builds APIs, infrastructure-as-code workflows, CI/CD integrations, observability tooling, and self-service networking capabilities using Ansible, Terraform, and Jinja2. Collaborates with network, platform, and security teams, contributes to architecture, supports production reliability, and participates in on-call incident response.

Build production integrations, data pipelines, spend models, and agentic AI workflows for enterprise procurement customers. Embed with customer teams to normalize messy data, define and measure deployment outcomes, customize reliable workflows, and create customer-specific evaluations. Lead demos, training, security reviews, and pilot implementations while feeding reusable integrations and patterns back into the core platform. Travel to customer sites approximately once or twice monthly.

Own frontend architecture for React and TypeScript applications supporting complex research and analytics workflows. Build performant, accessible interfaces; establish standards for performance, testing, accessibility, and CI quality gates; evolve shared component libraries and design systems; partner on API contracts; address technical debt; contribute to Django services; and mentor engineers while leading department-wide technical initiatives.

Designs, develops, maintains, and supports integrations between SAP Business Suite and external systems. Builds interfaces using SAP PI/PO, APIs, REST, SOAP, OData, XML, JSON, IDoc, RFC, and BAPI; creates mappings, transformations, routing, and interface configurations. Troubleshoots failures and performance issues, monitors data exchange, supports testing and deployment, documents integration architecture, and collaborates with SAP functional, business, and external application teams.

Build AI-powered code review features involving LLM memory, multi-language codebase indexing, semantic search, autonomous testing, and deployment. Design, implement, test, and deploy full-stack features; gather user feedback; lead cross-team initiatives; establish architecture and technical standards; build shared platforms and infrastructure; and manage scaling, incidents, security, and compliance risks.

Lead zero-to-one product development while shaping Unify’s product roadmap and engineering foundation. Build scalable AI-powered products using TypeScript, Prisma, Temporal, PostgreSQL, Kubernetes, Pulsar, ClickHouse, and LLMs. Evaluate technology platforms and vendors, establish engineering standards, manage infrastructure, deliver high-quality products at scale, and mentor multiple engineers while collaborating closely with founders, product, design, and engineering teams.

Supports compiler and runtime development for in-memory machine learning accelerators. Responsibilities include accelerating compiler development, static analysis of program properties, compiler optimization for ML model latency and bandwidth, and collaboration with QA teams.

Leads a product engineering domain responsible for client-facing SaaS products, integrations, and workflows. Oversees hiring, coaching, architecture, delivery, incident management, and multiple product lines. Partners with Product Management on strategy and roadmaps, communicates tradeoffs across business functions, supports client engagements, and ensures reliable, high-quality releases. The role requires strong backend product engineering expertise and leadership in complex data environments.

Build and maintain scalable full-stack applications across frontend and backend systems. Own features end-to-end, including user interface design and database optimization, while debugging production issues. Collaborate with founders on technical vision and roadmap, help establish engineering culture, engage with users, and contribute to the growth of an early-stage AI-powered insurance brokerage.