Top Artificial Intelligence Software Engineer Jobs

Build and operate Python and FastAPI platform services powering healthcare workflows, while developing end-to-end frontend features with JavaScript, TypeScript, and React. Responsibilities include API design, data modeling, system integrations, reliability, observability, performance improvements, code reviews, mentoring, and project ownership from design through launch. The role partners with product, design, and engineering teams to deliver secure, maintainable, accessible solutions.

Design and build scalable cloud-native software for security data ingestion. Develop API integrations, log parsing and normalization pipelines, schema mappings, and integrations with security tools and log forwarders. Optimize data quality and ingestion performance while contributing to distributed systems architecture, testing, documentation, and agentic LLM-powered parsing capabilities. Collaborate with customers and internal stakeholders in a hybrid environment.

Lead and grow the platform engineering team while providing hands-on technical direction. Design and build scalable enterprise platform systems covering identity, access management, integrations, extensibility, reliability, security, compliance readiness, and operational excellence. Translate customer needs into technical deliverables, mentor engineers, and guide development in an ambiguous startup environment. AI agent or production LLM experience is beneficial.

Own Quvia Grid’s optimization layer for government connectivity programs. Formulate bandwidth allocation, routing, scheduling, and capacity models; implement production solvers and heuristics; select and tune optimization methods; validate solution quality; diagnose deployed-system performance; document model behavior; and translate customer mission constraints into deployable software. The role requires extensive operations research experience, strong software engineering skills, customer engagement, and eligibility for a Secret clearance.

Develop, integrate, test, and maintain full-stack software from requirements through production. Responsibilities include building backend services, RESTful APIs, data integrations, and user-facing web applications; participating in design discussions and code reviews; troubleshooting issues; and improving software quality and delivery practices. The role requires collaboration with engineers, architects, product owners, and mission stakeholders in an Agile environment.

Build and ship production systems that transform road sensor data into infrastructure intelligence. Responsibilities include developing Python services, cloud data pipelines, APIs, integrations, and web platform features; improving scalability and reliability; owning features end to end; and collaborating with product, operations, customers, and technical teams. The role also involves using AI coding tools and supporting government technology integrations.

Lead and deliver frontend engineering projects: build scalable progressive web apps, maintain the design system, collaborate with designers, researchers, and product teams, ensure UI excellence and high-quality frontend code across products.

Design and build scalable full-stack applications across React/TypeScript front ends and cloud-native back ends. Develop microservices, databases, caching, authentication, AI model integrations, real-time inference, testing, CI/CD, and observability. Collaborate with UX, Product, AI/ML, and MLOps teams on client solutions. Lead code reviews, knowledge-sharing sessions, pair programming, and technical mentorship while helping establish engineering best practices.

Designs, develops, deploys, and maintains full-stack software supporting manufacturing and enterprise systems. Builds C#/.NET Core backend services, RESTful APIs, SQL Server databases, and React/Next.js interfaces. Troubleshoots distributed production systems, participates in code reviews, documents technical solutions, and collaborates with cross-functional teams to translate requirements into scalable technical implementations.

Build and lead Orpex’s AI workforce platform as a former founder or CTO. The role is intentionally flexible across engineering, product, and company operations, with ownership from day one. Responsibilities include defining a first-90-day mandate, setting engineering and hiring standards, shipping core products, and partnering directly with the founder. Candidates should have founded a company, served as a startup CTO or first technical hire, shipped a credited product, or operated a service business.