Top Software Engineer Jobs

Lead the development of AI-powered trading systems, focusing on building pipelines, enhancing research with AI, filtering signals, and managing infrastructure for data processing in a fast-paced trading environment.

The Lead Engineer will manage AI-enabled internal product development, focusing on full-stack system ownership, agentic coding, and collaboration with cross-functional teams.

As a Backend/AI Engineer, you'll integrate LLMs, optimize document processing pipelines, and improve API design for document understanding tasks.

The Senior Software Engineer will build foundational AI infrastructure, design platforms and tools for AI applications, ensure reliability, and collaborate with AI teams to support production cases.

Develop scalable data pipelines for autonomous driving, enhancing data extraction and labeling processes, and collaborating with cross-functional teams on ML models.

Design and build AI-powered UI tooling and frameworks for authoring, iteration, and debugging. Own and evolve the UI tech codebase in Unreal Engine, profile and resolve performance and memory issues, set technical direction, mentor programmers, and collaborate with internal teams and licensees to solve UI challenges.

Design and build AI-powered UI tooling and frameworks for UI authoring, iteration, and debugging. Own and evolve the UI codebase, set technical direction, mentor engineers, profile and fix performance and memory issues, and collaborate with internal teams and licensees to solve UI challenges.

Design, build, and deliver AI-driven Salesforce Agentforce agents and intelligent automations. Develop integrations, test automations, debug Apex/JavaScript/Python code, produce technical documentation, mentor junior engineers, participate in DevOps and QA, and support transformational projects and high-priority incidents.

Develop, test, debug, and maintain microservice-based applications; implement features and integrations using Java, Spring Boot, TypeScript/React, Node.js and AWS; participate in incident resolution, impact analysis, and team delivery practices; document work, monitor system health, and continuously expand technical skills.

As a founding Solutions Engineer, you will lead technical discovery, run POCs, and ensure successful customer integration while collaborating with product and revenue teams.

Design and implement AI-powered educational software, focusing on generative AI systems, mentor peers, and ensure scalable, secure architecture.

As an Applied AI Engineer, you'll develop and deploy AI solutions, collaborate with customers, and optimize production systems using Python and SQL. Your role involves driving customer impact through innovative AI technologies.

The AI Solutions Architect will design and implement AI solutions, architect AI infrastructure, lead initiatives, and mentor teams while ensuring alignment with business objectives.

Design and build cloud-native AI solutions on Oracle Cloud Infrastructure: develop AI agents, integrate mission data with LLMs (RAG/MCP), deliver production geospatial systems, build Node.js dashboards tied to Oracle Databases, and ensure secure, scalable OCI deployments for defense clients.

Design, implement, and maintain Python frameworks and services that orchestrate distributed engineering workflows across machines and clusters. Build scheduling, execution, resource management, failure recovery, and test infrastructure. Define APIs and abstractions, reason about concurrency and distributed-systems behavior, debug complex multi-system issues, write automated tests and documentation, and partner with platform, CI, release, QA, and product teams to deliver scalable infrastructure.

Build and operate full‑stack features for an AI-driven contract management platform. Collaborate with product, data science, and design; own services from development to production; mentor teammates; apply DevOps, CI/CD, containerization, and distributed systems best practices to scale AI capabilities.

Work as an early-career full-stack software engineer building and maintaining web application features across backend, frontend, APIs, data, tests, and internal tooling. Use AI-assisted development tools responsibly, write maintainable code and tests, participate in code reviews, and learn product and customer context to deliver production-quality outcomes.

Design and implement full-stack applications and AI agents for the GenAI platform, ensuring rapid development and deployment across critical industries. Collaborate with teams to deliver secure and reliable cloud-native systems.

Own the full product loop: identify high-impact problems, rapidly prototype and ship AI-accelerated solutions, build internal tools and automations, collaborate with operations and business teams, and iterate based on usage and data to drive adoption and business impact.

Design and govern end-to-end enterprise solutions focused on Java applications, AWS cloud, and AI/ML integrations. Produce architecture artifacts, lead reviews, guide DevOps and data strategies, and mentor engineering teams to ensure scalable, secure, resilient systems aligned to business goals.

As a .NET Developer (AI), you will design enterprise applications with AI capabilities, optimize agent behavior, and collaborate across teams to drive innovation in solutions.

The AI Engineer will prototype and implement innovative document search methods, owning impactful projects as part of Humata's cognitive architecture team.

As a Staff ML Engineer, you will architect and build Spara's AI engine, craft user experiences, collaborate with leadership, and innovate in AI application.

As a Senior Full-Stack Software Engineer, you will design, build, and ship AI-powered systems to optimize workflows in the single family rental market, focusing on backend services and full-stack development in a fast-paced environment.

As a Senior AI Platform Engineer, you will design and build production software for AI Employees, manage technical delivery for client implementations, and ensure system reliability and performance.