Top Software Engineer Jobs

The Senior Engineer collaborates with teams, designs and implements technical features, writes production-ready code, and ensures high-quality deliverables, while also engaging in research and learning on new technologies.

Build the execution layer for AI focusing on relational intelligence in natural conversation. Tasks include affect analysis, memory systems integration, prompt engineering, and cloud infrastructure setup.

The role involves designing, building, and maintaining backend services, developing AI/ML features, managing databases, and ensuring production readiness with a focus on best practices in software engineering.

The Staff Applied AI Engineer will architect multi-agent LLM systems, drive performance optimization, mentor teams, and ensure system reliability while fostering continuous improvement.

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

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.

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.

As a Senior Software Engineer at Whatnot, you'll build AI tooling for internal use, developing workflows and infrastructure to enhance software delivery. You'll collaborate across teams to gather feedback and prioritize features in a rapidly evolving landscape.

The Senior Software Engineer will help develop AI solutions to improve healthcare access, working in a hybrid model within an entrepreneurial team.

The Senior Software Engineer will explore AI solutions in healthcare, having experience in full-stack/backend development and startup culture.