Top Software Engineer Jobs

Manage complaint records for SaMD applications, ensure audit readiness, perform trend analysis, and coordinate quality aspects of software releases while collaborating with cross-functional teams.

The Distinguished Engineer will drive innovation in banking technology, lead software engineering projects, mentor teams, and utilize AI and advanced architectures for risk management.

The Sector VP of IT & Digital Officer drives IT strategy, oversees service delivery, manages digital transformation, and leads talent management in alignment with enterprise objectives.

The Chief Engineer will set the technical vision for AI and machine learning programs, manage execution, and lead multi-disciplinary teams to deliver innovative solutions.

Lead software development for AI, ML, and decision systems, manage technical teams, and drive innovation for National Security solutions.

This role involves leading a team to integrate AI into engineering processes, enhancing productivity and quality while ensuring compliance with standards.

Lead a team developing advanced applications using AI, ML, and Generative AI, overseeing projects and ensuring high-quality solutions that meet business goals.

As a Lead Software Engineer, you will develop and deploy Generative AI solutions, manage CI/CD pipelines, and collaborate with data scientists to refactor analytics solutions for production.

As a Senior Backend Engineer at Posh, you will design, build, and maintain scalable systems and APIs for AI features, focusing on Multi-Agent Systems and cloud infrastructure management.

The Developer Experience Engineer will improve developer experience by modernizing tools, building AI-powered systems, and accelerating product delivery at Kustomer.

Responsible for developing and enhancing an AI SDK, ensuring high performance and integration with deployment platforms, while collaborating with cross-functional teams and engaging with the open-source community.

Develop and enhance AI Gateway platform, contributing to the design and maintenance of features for optimal reliability in AI workloads while collaborating with cross-functional teams.

The role involves designing and operating AI systems, building data pipelines, fine-tuning models, and mentoring team members while collaborating with product and data science teams.

Lead full‑stack development of AI infrastructure prototypes and production systems. Build backend Python services, integrate front-end apps with APIs, AD and OAuth, deploy serverless cloud solutions (AWS/Azure/GCP), write automated tests and documentation, and collaborate across teams to deliver generative-AI agents using foundation model APIs and agent frameworks.

Build a cross-platform endpoint agent to detect and attribute AI-generated code at the line level, design pipelines to capture/classify/store developer and agent activity, work with Git internals, integrate with coding agents, and ensure reliable, invisible production deployments across macOS, Linux, and Windows.

As a Senior Software Engineer, you'll architect and build core infrastructure components, optimize distributed systems, develop AI-driven products, and mentor mid-level engineers.

As a Knowledge Development Engineer, you'll architect and deploy AI-driven production systems, reverse-engineer existing systems, and guide product development. You'll synthesize customer feedback and lead experiments to connect technical development with business outcomes.

The Knowledge Development Engineer leverages AI agents to solve customer problems by building applications and automating workflows, focusing on delivery speed and quality.

As a Sr. Software Engineer in AI, you will develop AI infrastructure, workflows, and applications using Python and TypeScript, optimizing agentic AI adoption across the company.

As a Staff Software Engineer, you'll lead AI-powered product delivery, shape platform architecture, and drive initiatives like advertising systems and AI-generated content.

Lead architecture and build of a global, high‑performance data and AI platform. Own design, performance tuning, and SDLC for distributed systems (streaming, storage, indexing) powering real‑time analytics, vector search, and AI-driven products. Mentor engineers and drive engineering rigor and shared tooling.

Design and operate scalable, event-driven backend systems in Python for AI-native financial products. Build typed APIs (FastAPI + Pydantic), own data and ledger architectures, develop reliability primitives, partner with ML teams to productionize models, and ship platform foundations for audited, high-throughput financial workflows.

The role involves developing AI-assisted product experiences for Datadog by building systems for chat, remediations, and codefixes, alongside collaboration with cross-functional teams to enhance user outcomes.

As a Senior Software Engineer, you will lead the development of AI tools, support incident response, and mentor junior engineers while driving impact through automation and tooling development.

The Software Engineer II will develop AI capabilities, implement workflows, manage integrations with LLM providers, and enhance the TrakSYS platform while ensuring security and reliability.