Top Software Engineer Jobs

Build and operate large-scale audio data pipelines for AI model training. The role involves discovering data sources, developing reliable data-processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists. The engineer will own projects from discovery through implementation and ongoing improvement, using strong backend engineering skills in Python, Bash, and Linux environments.

Build backend services, APIs, integrations, relational data models, and TypeScript frontend features. Partner with product teams to define technical criteria, model evolving business domains, and deliver end-to-end functionality. Help scale AI-native engineering through shared agentic AI workflows, development tooling, and CI/CD integration. The role requires production experience with Ruby, Node.js/TypeScript, or Python; cloud platforms such as AWS; API design; strong data fundamentals; and fluent English communication.

Join as a founding engineer building backend systems for an ambient AI scribe for nursing homes. Work on audio capture, transcription, vocal biomarker integration, automated clinical workflows, and set engineering standards. Collaborate in-person with founders to shape product and culture.

Build and lead UI tooling and AI-powered workflows for Unreal Engine. Design frameworks for UI authoring, iteration, debugging, and runtime capabilities; maintain large-scale UI codebases; resolve performance and memory issues; collaborate with internal teams and licensees; and mentor engineers.

Designs, builds, deploys, and maintains secure full-stack identity governance software for federal customers. Responsibilities include backend and frontend development, distributed systems architecture, cloud and on-premises infrastructure, CI/CD, observability, reliability, audit readiness, and operations in disconnected or classified environments. The role also requires collaboration across engineering, product, and design; architectural leadership; AI-augmented software development; and mentoring peer engineers.

Build and operate secure AWS backend systems, healthcare data pipelines, and EHR integrations that transform partner data into model-ready results. Develop FHIR integrations, AI-assisted onboarding tools, infrastructure, CI/CD, monitoring, and production ML operations while supporting product and full-stack needs. Lead partner technical go-lives, establish engineering standards, mentor future engineers, and collaborate with data scientists, clinicians, and IT teams while protecting PHI.

Build and iterate on AI-powered recruiting products, advancing LLM and voice capabilities, collaborate with customers to define solutions, and deliver clean, high-quality full-stack code with strong UX focus.

Lead the engineering team building LangSmith’s AI observability and evaluation platform. Responsibilities include hiring and mentoring engineers, setting technical direction, ensuring scalability and reliability, partnering with product and design, writing high-quality code in Go, Python, and TypeScript, and engaging customers to improve the product.

Develop and maintain proprietary investment portfolio management systems, including web UI, portfolio analytics, rebalancing, and monitoring tools. Build new functionality across the full stack, support critical production systems, and plan large-scale integrations. Collaborate with investment teams, business stakeholders, third parties, and junior team members while ensuring application responsiveness, reliability, and security.

Leads and grows the Payments engineering team while remaining hands-on in software development. Designs scalable backend systems using .NET, databases, messaging, Docker, and AWS. Manages engineering and QA professionals, mentors team members, prioritizes initiatives, and collaborates with product and business stakeholders. The role combines approximately 60% engineering with 40% people and project management.