Top Artificial Intelligence Software Engineer Jobs

Build and scale full-stack software for an AI-native cybersecurity platform. Responsibilities include developing backend services and APIs, creating frontend applications, collaborating on product features, writing tested code, participating in reviews, troubleshooting across the stack, and improving engineering processes. The role requires 3–5 years of software engineering experience and experience with backend, frontend, databases, and cloud technologies. Docker, Kubernetes, CI/CD, AI/ML, and startup experience are preferred.

Design, scale, and maintain robust software systems for AI-powered physical machines. Define coding standards and technology choices, work across the stack, collaborate on novel technical challenges, and mentor new hires. The role may involve AI/ML, hardware integration, systems programming, networking, Linux, and high-performance computing in a fast-paced startup environment.

Build and scale Known’s backend infrastructure for conversational AI, matchmaking, autonomous agents, and consumer applications. Responsibilities include designing APIs and distributed systems, developing real-time and low-latency services, architecting data pipelines and storage, integrating AI agents with external systems, and owning services through deployment, monitoring, reliability, security, and scaling. The role requires end-to-end ownership and strong product intuition in an in-person San Francisco environment.

Own architecture and technical direction for mission-critical Rust services, including an AI/API gateway, policy engine, Kubernetes controller, and ingestion worker. Write production Rust code while supporting Kubernetes, Helm, Argo CD, AWS EKS, Terraform, and Python tooling. Use AI coding tools daily, support secure government deployments, and contribute to on-call, observability, security engineering, and agentic AI services.

Build and own full stack features using React Native, Flask, and TypeScript. Occasionally travel to warehouses to observe software in action and perform live coding during go-lives. Collaborate closely with founders and the founding engineer, make technical decisions, and help scale infrastructure as needed.

Maintain, optimize, secure, and modernize Oracle databases supporting DHA financial, procurement, contract management, and enterprise data warehouse systems. Responsibilities include performance tuning, ETL support, backup and recovery, disaster preparedness, STIG implementation, vulnerability remediation, audit support, database migrations, outage response, and high-availability operations across AWS GovCloud environments. The role requires advanced Oracle and Linux administration, automation scripting, security hardening, and either EDW or contract-management database expertise.

Build and maintain full-stack enterprise AI applications across backend APIs, databases, and Angular frontends. Develop generative AI capabilities, including LLM integrations, prompt design, and retrieval-augmented workflows. Own features through design, testing, deployment, code review, and production support while contributing to system architecture and collaborating with engineering, product, and design teams.

Lead architecture and technical design for scalable software systems across AI, simulation, and cloud infrastructure. Partner with product and research teams to deliver production features, define engineering standards, improve reliability and performance, mentor engineers, and contribute hands-on code. The role requires expertise in distributed systems, Python, TypeScript, SQL, gRPC, Protobuf, GCP, React, and modern deployment technologies.

Develop and ship full-stack, AI-powered applications using Unframe’s platform. Collaborate with product teams, research teams, internal stakeholders, and enterprise customers to tailor solutions, extend platform and UI/UX capabilities, and integrate AI functionality into production. Write clean, tested, maintainable code and own features from concept through deployment.

Build and maintain scalable backend services with TypeScript and Node.js, integrate third-party APIs, write tested code, and use AI tools for development workflows. The role requires proactive ownership of bugs, performance, architecture, communication, and independent prioritization in a remote environment.