Top Software Engineer Jobs

Build and own full-stack product features for an AI-powered biopharma documentation platform. Develop React and TypeScript interfaces, backend services, APIs, data models, and production deployments. Design scalable systems for complex enterprise workflows, create AI-native scientific and regulatory content experiences, collaborate cross-functionally, and make pragmatic architectural decisions in a fast-paced startup environment.

Develop and operate Java 21+ microservices using Spring Boot, REST APIs, event-driven integrations, relational databases, Docker, Kubernetes, and Azure. Modernize legacy monoliths, build automated tests, contribute to CI/CD and infrastructure automation, monitor production systems, and support incident response. Use Claude Code and other AI coding agents throughout development while evaluating generated code for security, reliability, maintainability, performance, and coverage. Own service architecture and evolution while collaborating with product, platform, security, QA, and business teams.

Build and operate end-to-end full-stack applications for transaction monitoring and data controls. Develop responsive UI components, Java Spring Boot microservices, REST APIs, event-driven Kafka and Spark pipelines, and cloud-native GCP solutions. Contribute to LLM, Agentic AI, and RAG automation initiatives while ensuring scalability, resilience, observability, security, and performance. Collaborate with cloud, security, data, risk, and compliance teams across globally distributed environments.

Lead AI platform architecture, design microservices and REST APIs, mentor engineers, and drive Agile practices for AI systems at scale.

As a Principal Software Engineer, you will lead architectural development and implementation of complex software systems while collaborating with engineering teams across disciplines.

Develop production-grade Python services, pipelines, testing frameworks, and data tools that automate quantitative market and credit risk model lifecycles. Build AI/ML and LLM-enabled documentation, data quality, validation, and workflow capabilities within governed enterprise environments. Collaborate with quants, validators, data engineers, and program leaders while applying secure software engineering, CI/CD, testing, and scalable design practices. Mentor junior developers and contribute to technical design reviews.

Designs and owns full-stack AI developer productivity products and platforms, including desktop applications, backend APIs, data pipelines, dashboards, telemetry, integrations, and developer tools. Leads technical design for scalable AI coding tool integrations, translates ambiguous requirements into production software, and manages reliability, observability, performance, security, and supportability. Evaluates human- and AI-generated code and advances prompt engineering and system-context practices for reliable AI-assisted development.

Lead the design and development of software applications, collaborate with teams, mentor developers, and improve codebases to meet business goals.

Design and build scalable enterprise applications in C#/.NET (APIs, microservices) and integrate AI capabilities (Python, LLMs, RAG, vector DBs, agentic frameworks). Own CI/CD, Azure DevOps workflows, containerized deployments, and collaborate across teams to deliver AI-enabled operational automation and agent integrations.

Lead engineering on trading technology: design, develop, and maintain secure, scalable Java/Spring services and data pipelines. Drive adoption of cloud (AWS), CI/CD, AI/ML, analytics, automation, and best practices while mentoring and delivering complex market-facing systems.

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

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.

Build and maintain scalable full-stack web applications across front-end and back-end systems. Develop RESTful APIs, integrate AI and machine-learning models using Python, manage SQL and NoSQL databases, and create GitHub Actions CI/CD pipelines. Collaborate with data scientists, troubleshoot and improve existing software, participate in code reviews, and apply modern DevOps, cloud, containerization, and microservices practices.

Build internal software and AI-powered systems that connect Product, Engineering, Sales, Marketing, Programs, and Operations. Responsibilities include integrating SaaS tools, APIs, databases, LLMs, and AI agents; automating workflows; creating systems that translate product specifications into engineering work; maintaining synchronized documentation; supporting controlled government proposal workflows; and improving how employees and agents collaborate.

Build and own mobile experiences for clinicians using Flutter, Swift/iOS, and Kotlin/Android. Develop AI-native workflows involving real-time transcription, ambient documentation, multimodal inputs, offline functionality, and intelligent recommendations. Collaborate with clinicians, product, design, AI, and backend teams from discovery through launch. Ensure performance, accessibility, reliability, analytics, testing, observability, and release readiness while contributing to mobile strategy and mentoring engineers.

Designs and maintains AI-powered full-stack applications using React, TypeScript, Python, and FastAPI on Azure. Builds cloud-native, containerized solutions, data pipelines, CI/CD workflows, Terraform infrastructure, dashboards, and secure production systems. Integrates LLMs, AI agents, and machine learning models while partnering with data scientists and business stakeholders. Provides technical leadership, establishes engineering standards, mentors team members, and manages the full software development lifecycle.

Build and maintain scalable Python-based AI applications under senior guidance. Assist with requirements, feature implementation, data modeling using Pydantic, code reviews, troubleshooting, testing, and CI/CD. The role requires collaboration, communication, and willingness to learn modern Python tools, frameworks, and libraries. Candidates should understand object-oriented programming, REST APIs, large language models, and AI coding tools. The position is fully remote within the United States.

Lead architecture and development of custom business applications that automate legacy workflows for SMB clients. Translate business processes into scalable CRM, project-management, integration, and operational software using AI-assisted development through Replit. Ensure application security, reliability, infrastructure stability, and performance. Design integrations with legacy systems such as Sage 300, and eventually recruit and mentor a development team while establishing AI-augmented engineering practices.

Own end-to-end development of AI product demos, including React and TypeScript interfaces, streaming chat and agent workspaces, backend-for-frontend services, database schemas, deployment, observability, and on-call. Partner on app-builder tooling, design systems, agent-facing CLI and deployment experiences, accessibility, localization, audit trails, and enterprise readiness. Debug across backend and Kubernetes infrastructure while delivering reliable, AI-native product experiences.

Own the AI inference and runtime platform, including open-weight model serving, Kubernetes operators and autoscaling, GPU infrastructure, stateful vector and graph stores, and secure microVM-based agent sandboxing. Build Rust, Python, and Kubernetes control-plane services; manage infrastructure as code, observability, metering, lifecycle operations, upgrades, backups, and failover. Establish security controls, open-source standards, and reliable production operations across cloud and managed GPU environments.

Design, implement, test, and maintain full‑stack software across backend and frontend. Participate in full product lifecycle, review peer code, create documentation, collaborate globally, and help drive strategic goals.

Design, build and maintain backend services and data pipelines; drive technical design and implementation; ensure product and technical excellence through testing, performance tuning, instrumentation, and automation; collaborate across global teams and lead projects in distributed, large-scale systems.

As a Senior Staff Machine Learning Engineer, you will drive AI product development, collaborate with cross-functional teams, and enhance ML models at scale.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Build and scale backend and full-stack systems powering patient booking, clinician routing, logistics, and device integrations. Own 0->1 projects, design APIs and data models, solve scheduling and dispatch challenges, integrate external health systems, and collaborate with product, data, ops, and clinical teams.