Top Artificial Intelligence Software Engineer Jobs

Lead the design and delivery of scalable distributed systems, microservices, APIs, cloud-native platforms, and AI-powered solutions. Drive CI/CD automation, observability, production reliability, enterprise engineering standards, and responsible AI adoption. Mentor engineers, review technical designs, and promote modern software development practices across AWS, Azure, or GCP environments.

Design, develop, test, deploy, and support enterprise Java applications, REST APIs, microservices, and batch-processing platforms. Lead system design, code reviews, modernization, security, performance optimization, production support, incident resolution, and CI/CD improvements. Collaborate with business, QA, DevOps, and architecture teams while mentoring junior engineers and using approved AI tools to improve development workflows.

Design, develop, and support scalable enterprise applications using .NET, Angular, Azure, and SQL. Build APIs, integrations, cloud solutions, and CI/CD pipelines while following engineering standards and security practices. Collaborate with stakeholders and cross-functional teams, participate in design and code reviews, support deployments and incident resolution, evaluate AI capabilities, document solutions, and provide technical guidance to team members.

Deploy and expand PagerDuty’s SRE Agent within strategic customer production environments. Build reusable agent tools, connectors, and skills; integrate with infrastructure-as-code, GitOps, CI/CD, and observability systems; run customer pilots; resolve adoption blockers; and contribute production code to the core product. Provide architectural guidance, define account roadmaps, evaluate agent capabilities, and help customers progress from AI-assisted incident response to safe autonomous operations.

Deploy and integrate PagerDuty’s SRE Agent into strategic customer production environments, connecting infrastructure-as-code, GitOps, CI/CD, observability, and incident-management systems. Build reusable agent tools, connectors, evaluation pipelines, and safety guardrails; run customer pilots; resolve adoption blockers; contribute production code to the core product; and shape technical roadmaps. The role combines staff-level software engineering, production LLM and agent-system development, technical consulting, customer engagement, and frequent travel.

Lead and develop a software engineering team building Yext’s Knowledge Graph infrastructure, APIs, workflows, and distributed systems. Partner with Product and Engineering leadership to plan and deliver initiatives, guide architecture and technical tradeoffs, maintain engineering quality, coordinate incident response, recruit and onboard engineers, and improve team processes. The role also involves responsible adoption and evaluation of AI-assisted development tools.

Develop and maintain scalable, reliable shared systems and architecture across Yext’s customer platform. Responsibilities include full software development lifecycle ownership, designing storage systems, libraries, and frameworks, writing tested and documented code, collaborating across engineering teams, improving products and practices, and responsibly evaluating AI-generated code for correctness, security, privacy, and maintainability.

Develop and deploy software, CAD automation, and AI-assisted tools for custom memory IC design workflows, including layout, verification, simulation, and tape-out. Collaborate with global design and CAD teams to identify automation opportunities, integrate EDA tools, and apply generative AI, machine learning, and LLM technologies. Maintain scalable, tested, documented developer tooling and workflow integrations.

Develop and deploy EDA/CAD software, automation, and AI-assisted tools for custom IC and memory design. Collaborate with global design and CAD teams to identify automation use cases, integrate AI/LLM capabilities, support EDA tool evaluation and deployment, and maintain scalable software development practices to improve productivity, quality, and cycle time.

Develop, test, deploy, and support secure full-stack applications for Finance, Manufacturing, Supply Chain, and Operations. Build user interfaces, APIs, business logic, integrations, data models, and automated tests. Maintain integrations across ERP, MRP, MES, PLM, warehouse, procurement, finance, and analytics platforms. Collaborate with engineers and business stakeholders, monitor application health, investigate issues, and contribute to design, code reviews, CI/CD, documentation, reliability, and production support.

Build and operate secure, scalable full-stack applications supporting Finance, Manufacturing, Supply Chain, and Operations. Responsibilities include developing user interfaces, APIs, data models, integrations, automated tests, observability, and production support. The role partners with business and technical stakeholders, integrates ERP and manufacturing platforms, improves reliability and performance, and contributes to engineering standards, documentation, mentoring, and incident response.

Build AI applications and workflows that drive revenue using Vercel AI Cloud. Partner with Sales, Marketing, Success, and Data to identify user pain, ship high-impact solutions, test new features, and publish best practices. The role involves daily software development, AI model and API integration, automation, and collaboration with GTM teams. It is remote, with office anchor days for employees near select offices.

Designs and develops scalable, concurrent software for HPE’s Alletra enterprise storage platform using modern C++ and Linux. Responsibilities include building distributed storage features, debugging performance and reliability issues, creating automated tests, participating in architecture and code reviews, integrating technologies, and mentoring engineers. The role requires expertise in systems infrastructure, multithreaded programming, algorithms, data structures, and software architecture.

Develops and deploys scalable cloud applications and services, including coding, testing, integration, debugging, and CI/CD automation. Designs cloud-native modules, creates comprehensive test plans, addresses application and system issues, and integrates emerging technologies. Works with distributed systems, event-driven architectures, managed cloud services, databases, Kubernetes, infrastructure as code, and containerization. Collaborates with project managers and development partners to deliver, operate, monitor, and support cloud engagements.

Develop and maintain scalable control-plane software for DigitalOcean’s network products, including APIs, services, and tools. Responsibilities include implementing, testing, optimizing, and supporting reliable distributed systems; collaborating across networking teams; improving developer and customer experiences; establishing engineering best practices; and contributing to architecture, monitoring, performance, and mission-critical platform reliability.

Build scalable SaaS systems for ingesting, processing, and analyzing experience data. Responsibilities include developing distributed services, integrating platforms such as Slack and Salesforce, supporting NLP and machine-learning analytics, creating dashboard widgets, and collaborating with customers, product managers, and engineering teams. The role offers growth in full-stack development, containerization, Agile methodologies, and scalable software design.

The Meritocracy Fellowship is a five-week educational and engineering program for exceptional high school graduates. Fellows study foundational ideas, build software, and then join Palantir development or forward-deployed engineering teams as full-time-equivalent software engineers. They work with real data and customers, ship products, and solve ambiguous problems across engineering, product, security, deployment, and operations.