Top Software Engineer Jobs

As an AI Engineer, you'll lead backend implementation, build AI-powered products, and ensure high-quality systems, contributing to Elicit’s tech stack and user experience.

Lead and architect AI agent applications by improving reliability, performance, and scalability. This role focuses on full-stack development, operational excellence, and collaboration across teams to build robust production systems.

Lead engineering team to develop AIPerf, an open-source benchmarking tool for LLM inference performance, while overseeing technical direction and mentoring engineers.

As a Senior Software Product Engineer, you will enhance compliance solutions through advanced software development, performance optimization, and team collaboration to ensure high-quality outcomes and user experience.

Own technical and scientific delivery of consumer weather verticals: build data pipelines, APIs, and integrations from model output to products; implement LLM-driven content generation, evaluation, and guardrails; collaborate with research scientists, product, design, and front-end engineering to move experiments into flagship production.

As a Salesforce Technical Architect, you'll design and execute technical solutions using Agentforce, collaborating with teams to address business needs while overseeing project lifecycles from design to deployment.

Design and implement AI-driven applications using Verint technology, working with cross-functional teams to enhance customer experience and operational efficiency.

As a Principal Software Engineer, you will architect AI-enabled systems, mentor teams, and guide technical decisions for scalable products.

The Gen AI Data Engineer will design and build distributed data systems, develop data pipelines, manage data infrastructure, and integrate technologies for real-time and batch processing, contributing to scalable analytics solutions.

Design, build, test, deploy, and maintain cloud-based applications, microservices, and infrastructure. Ensure application performance and quality, fix bugs, write automated tests, and collaborate on new features. Use AI-assisted development tools daily and implement IaC and modern architecture patterns to deliver secure, maintainable code.

Build and maintain AI-enabled execution systems: workflow automation, integrations, APIs, data, and lightweight UIs. Use low-code platforms and AI-assisted tools to deliver reusable, observable, and supportable solutions, participate in agile sprints, and produce documentation and runbooks for operational handoffs.

Develop and enhance user-facing features for an LLM observability platform using React and TypeScript. Build reusable components and front-end libraries, translate designs into performant UI code, optimize cross-device/browser performance, and collaborate with backend engineers and designers to improve usability.

Build and maintain AI-enabled, reusable execution systems spanning APIs, integrations, workflow automation, low-code platforms, and lightweight UIs. Use AI-assisted development tools, ship with operability (logging, monitoring, runbooks), create reusable patterns, and collaborate in agile sprints producing documentation and clean handoffs.

Design, build, and operate scalable data pipelines and storage/indexing for an AI-driven legal platform. Implement queue-based asynchronous processing, multi-tenant architectures, observability, migration strategies, and system design documentation. Collaborate across engineering, product, and security to ensure data reliability, performance, and operational readiness.

The Engineering Manager will lead teams in developing and managing Blackbaud's Data & AI platform, focusing on scalability, security, and cost-efficiency.

Modernize and maintain Magnus and Goliath platforms across Java, Go, and JavaScript. Build AI-powered features (LLMs, tool-calling), integrate BigQuery, GCP, MySQL and internal APIs, diagnose production issues, write automated tests, and own projects end-to-end from design through deployment and support.

Lead North America execution of AI-first SDLC transformation and quality platforms for a multi-tenant SaaS identity product. Define system validation and quality platform strategy, enable agentic quality workflows, drive shift-left developer-owned testing, own CI/CD quality gates and telemetry, improve production readiness and release confidence, and hire and coach senior technical contributors while partnering across Dev, SRE, DevTools, Product, and AI teams.

Design and implement complex backend services for Binance Square. Collaborate with product, DevOps, and QA to deliver high-quality microservices, promote engineering best practices, and perform code reviews.

Early-career full stack engineer role to build end-to-end product features, integrate AI coding tools into the workflow, mentor peers, improve cross-team efficiency, and contribute across the product lifecycle from design through deployment.

Build and maintain full-stack web applications using React/Vue frontends and Java/Spring Cloud microservices. Design and consume REST/AI model APIs, work with SQL and NoSQL databases, use AI-assisted development tools, own features end-to-end, collaborate across product and design, ensure high-quality UI/UX, write tests, and contribute to documentation and architecture.

Build and enhance LangSmith frontend features: implement user-facing UI with React and TypeScript, create reusable components, translate designs into high-quality code, optimize performance, and collaborate with backend engineers and designers to improve observability and evaluation workflows for LLM applications.

Lead AI engineering initiatives, develop AI systems, integrate LLMs, mentor teams, and collaborate on business requirements within agile frameworks.

The role involves building tools for AI-assisted software development, optimizing workflow, and maintaining secure development environments.

Lead design and development of scalable full-stack applications using Java, Angular, microservices, and event-driven architectures. Integrate and deploy agentic AI/GenAI/LLM solutions for M&A use cases, architect resilient systems, implement CI/CD and cloud/container platforms, promote engineering best practices, and mentor teams across the SDLC while partnering with Architecture, Security, Risk, and Business stakeholders.

As a Senior AI Platform Engineer, you will build and maintain AI platform infrastructure, enabling scalable access to AI tools and workflows, ensure security and reliability, and define deployment standards.