Top Artificial Intelligence Software Engineer Jobs

Remote Senior Software Engineer who evaluates Microsoft and complementary technologies, designs and implements custom software (C#, JavaScript, SQL), applies cloud and DevOps practices (Azure/AWS, CI/CD, containers), mentors and networks professionally, and continuously learns and advises clients.

Build and own end-to-end full-stack systems for flight operations and autonomy. Develop backend services for telemetry, command-and-control, data ingestion, and analytics. Create frontends for ground control and operator workflows. Design APIs and data pipelines, integrate with embedded and avionics teams, support flight tests and field ops, and drive systems from concept to production.

Lead and grow teams building Convexs developer APIs, agent frameworks, and integrations. Stay hands-on in architecture, code review, and product decisions. Prioritize developer experience, mentor engineers, align with CTO and product, and deliver high-quality, simple, and secure platform surfaces while operating in a fast-moving startup environment.

Build high-fidelity, polished frontend interfaces with attention to visual detail, motion, interaction design, and performance. Partner with product and design to turn ideas into shippable experiences, make scalable frontend architecture decisions, mentor engineers, and grow into broader product ownership.

Lead implementation and integration of DFT features (scan, MBIST, BISR, boundary scan), develop reusable DFT IP and ATPG patterns, perform post-silicon debug and root-cause analysis, collaborate across physical design and validation teams, and drive manufacturing test readiness and production qualification for ASIC designs.

Work as a backend engineer building reliable systems, partner with product and design, break down complex problems, ship high-quality code quickly, and use AWS and PostgreSQL. Emphasize documentation, testing, technical judgment, ownership, and collaboration.

Owns end-to-end development and operation of features across multiple products and technology stacks. Responsibilities include UI, APIs, server logic, infrastructure, deployment, testing, observability, documentation, and support. The engineer will build AI-agent infrastructure involving LLM streaming, tool orchestration, sandboxed execution, and security boundaries, while also developing wallet-based web3 authentication and authorization. The role requires independent delivery ownership and strong TypeScript, React, cloud infrastructure, CI/CD, and production operations experience.

Build and maintain full-stack product features across frontend and backend, participate in product decisions and customer conversations, anticipate and handle edge cases in automation/migration systems, and contribute to infrastructure/DevOps as needed.

Design and build a real-time, deterministic world model and decision engine for satellite networks. Implement high-throughput, low-latency distributed systems (100k+ msgs/sec) in C++/Rust, develop autonomous routing and constraint-based optimization pipelines, deploy on AWS, add observability, and operate/debug live systems with direct customer interaction.

Work across product, engineering, and design to ship customer-focused full‑stack features (frontend-heavy) for a retail/CPG startup. Engage customers, scope ambiguous problems, build end-to-end solutions, influence product and engineering practices, and lead cross-functional initiatives while mentoring future hires.