Top Software Engineer Jobs

As a Software Engineer, Applied AI, you'll architect and implement integrations and scalable solutions for enterprise clients, focusing on technical requirements and business goals.

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.

The role involves developing cutting-edge AI storage solutions, optimizing performance for GPU IO, and collaborating with research teams using advanced C++, CUDA, and knowledge in data structures, algorithms, and storage systems.

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.

The Salesforce Technical Architect will design and implement Agentforce solutions, collaborating with various stakeholders to enhance business outcomes through AI-driven strategies.

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.

As a Senior Software Architect, you will set the technical direction for client products, lead the integration of AI in development workflows, ensure system scalability and security, and mentor teams while aligning architecture with product strategies.

Lead backend engineering for a cloud-native, data-intensive finance and P&L platform. Build and operate services (Java/Scala/Python) on Databricks and cloud, design secure scalable APIs, collaborate with finance and UI teams, and apply engineering best practices and AI/ML where valuable.

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.

Lead technical strategy and architecture for data-centric solutions across programs. Oversee data acquisition, harmonization, processing, storage, analysis, dissemination, and product lifecycle. Serve as technical lead/Product Owner, define enterprise data standards, decompose backlogs, prioritize features, advise leadership on analytics opportunities, and ensure mission-focused delivery within high-clearance environments.

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 and build the distributed systems layer powering a spatial computing platform: real-time coordination, persistent world state, APIs, AI platform infrastructure (vector search, retrieval, agent orchestration), and scalable services to support many concurrent users and third-party developers.

Lead Unity architecture and build persistent, multi-user spatial systems for mobile and wearables. Design spatial persistence, synchronization, AI-assisted content pipelines, and define long-term platform direction as a founding technical contributor.

Lead design and delivery of scalable, cloud-native platform capabilities and ML integrations. Drive full SDLC (design, coding, testing, CI/CD, deployment, monitoring), mentor engineers, influence architecture, and build resilient ML pipelines and AI-driven applications.

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.

Lead and develop a high-performing engineering team for software solutions in AI and cloud technologies. Oversee delivery, security compliance, and operational excellence while mentoring talent and driving innovation.

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