Top Software Engineer Jobs

Design, build, scale, and maintain the companys e-commerce marketplace platform using AI-assisted workflows. Deliver production-quality full-stack features, validate AI-generated code, mentor engineers, improve systems, and partner with Product and Design to execute initiatives.

Build end-to-end merchant-facing features using AI-native workflows (Laravel backend, Vue 3 frontend). Prototype, validate with users, adopt AI tooling, ensure quality and testing for AI-generated code, and collaborate with product and design to ship fast.

Lead architecture and technical strategy for patient and provider platforms; mentor engineers; integrate AI-augmented engineering tools; enforce API, data modeling, and architectural best practices across React/React Native and backend services; optimize CI/CD, observability, and reliability metrics; drive technical spikes, POCs, and cross-team alignment.

Lead the AI team, develop AI solutions for semiconductor processes, enhance tool operations, and mentor engineers. Define strategies and architectures for AI integration.

The role involves leading the architecture, development, and scalability of fullstack systems for AI agents while mentoring engineers and making technical decisions.

Develop Python-based ML components for spatial data quality, design robust software, and collaborate in an Agile environment.

The Software Development Engineer II focuses on integrating AI technologies into geospatial software, developing tools for automation, and collaborating with teams for innovative features.

Work with clients and Customer Success to design, build, and maintain server-side components for an AI platform. Implement and optimize databases, RESTful APIs, security, distributed systems, and performance; troubleshoot bugs; document code and collaborate with front-end engineers.

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.