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.

Lead the architecture and reliability of AI-driven product applications, ensuring security, performance, and facilitating rapid prototyping and shipping. Work closely with a cross-functional team to solve user problems and translate business needs into technical solutions.

Software Engineers will build AI agents for LiveFlow, focusing on designing integrated agent-driven systems to enhance financial software operations while ensuring data security and compliance.

As a Backend Software Engineer II, you will develop and maintain member-facing features using WHOOP's AI capabilities, collaborating with cross-functional teams and ensuring high-quality software solutions.

Design and operate scalable, event-driven backend systems in Python to power agentic AI workflows and real-time financial infrastructure. Own APIs, data architecture, reliability primitives, and platform foundations while partnering with ML and product teams to productionize AI-native financial systems.

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.

Lead the design and deployment of AI agents, mentor engineering teams, and drive technical strategy and architecture for scalable AI systems.

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