Top Software Engineer Jobs

The Research Engineer will develop AI algorithms for autonomous systems, collaborating with teams on end-to-end solutions and data-driven models.

Lead multiple teams in building production quality AI systems, ensuring reliable delivery and effective people management while establishing standards and practices.

Design and develop AI systems for personalized travel and concierge services, focusing on integration and optimization of various technologies.

Early-career full‑stack software engineer shipping weekly production features and LLM-powered products (tutoring agents, copilots, dashboards). Work closely with founders and senior engineers, own small systems end-to-end, run AI coding workflows, and write evals and regression tests for AI features.

The AI Assisted Software Engineer will design and develop enterprise software solutions, utilizing AI-assisted tools, and architect scalable systems while collaborating across teams to improve business operations.

Contribute to AI-driven healthcare solutions by designing and building AI-centric features, integrating LLMs, and ensuring system reliability. Collaborate effectively and take ownership of projects in a fast-paced environment.

Develop AI-driven solutions for sales execution focused on ERP integration, pricing engines, and optimization models while ensuring ROI alignment.

Join Knoetic as a Fullstack Product Engineer in a new AI pod. Own features end-to-end, work with customers, and improve engineering practices.

Lead and implement AI-assisted engineering workflows within software development, focusing on scalable AI integration, CI/CD automation, and team enablement.

Lead clients in designing and deploying Microsoft Azure AI solutions. Oversee multiple projects, engage in client discussions, and support sales efforts.

The Principal Software Engineer will design AI-assisted developer tools, improve software development workflows, and integrate new technologies for government contracts.

The role involves enhancing kernel performance and AI-assisted tooling through developer workflows, observability infrastructure, and optimization techniques, collaborating across engineering teams.

As a Full Stack Engineer, you'll develop platform capabilities, collaborate with teams to implement solutions, and integrate new technologies while ensuring architecture and security are sound.

Lead the enterprise cloud and application transformation strategy, focusing on App to Cloud modernization, driving microservices adoption, guiding development practices, and providing leadership across teams.

Leads and grows a software engineering team developing cloud software, data platforms, and AI-agentic products. Sets technical direction, guides architecture and design decisions, owns delivery roadmaps, partners cross-functionally, and maintains technical depth for hiring and incident review. Establishes AI-assisted development practices and a strong production reliability and on-call culture while mentoring engineers and supporting career development.

Design and implement geospatial components of an agentic AI system: build ArcGIS-based import/validation/storage of authoritative hazard geometry, develop deterministic polygon validation and REST APIs, integrate LLM-driven geo-language features, implement secure gov-cloud hosting and audit logging, and coordinate with alerting SMEs and system agents to ensure standards-compliant, human-approved alert areas.

Design and architect Android systems and modular components to support multiple apps. Ship end-to-end user features using an AI-assisted workflow, improve developer tooling and CI, set quality and safety standards for AI-generated code, solve performance and production issues, and document playbooks for the team.

Lead the delivery of AI-enabled engineering solutions, ensuring quality and performance while leading teams and establishing standards for Netsmart's healthcare technology platform.

Tenure-track Assistant Professor to teach and advise undergraduate and graduate courses across computer information science, data science, and AI fields; engage in research, curriculum design, student mentorship, committee service, and pursue funding. Expected to deliver face-to-face, hybrid, and online instruction, support student recruitment and retention, and use active, project-based pedagogies.

The Head of Application Development leads software engineering and application development across all business areas. Responsibilities include strategic planning, team development, performance management, ensuring delivery of quality software, and managing relationships with stakeholders and vendors.

Build and maintain cloud- and browser-based AI and automation applications (internal and customer-facing). Integrate with third-party APIs (QuickBooks, Microsoft Graph, CRM, Zoom), implement AI workflows (OpenAI), automate business processes (Zoho, PowerAutomate), and ensure security and maintainability while working closely with leadership and IT.

Lead the engineering team for Orchestrator, an AI-powered healthcare referral coordination product. Own end-to-end delivery, architecture, EHR integration strategy, scalability, customer partnerships, hiring, and team development. Remain hands-on through design reviews, code reviews, and production incidents while building generalized solutions across healthcare customers. Required expertise includes EHR integrations, HL7 v2, FHIR, full-stack production engineering, and at least one year of engineering management experience.

Lead frontend development for Sift Agents, building high-performance, agentic AI user experiences. Own product area from customer discovery through shipping, design interaction patterns for streaming and long-running agent tasks, render agent findings alongside large telemetry datasets, optimize browser performance (Web Workers, OPFS, WebAssembly), contribute to component library, and collaborate with backend engineers on API design.

Build and own frontend surfaces for agentic AI features: design streaming and long-running agent interactions, render agent findings alongside large telemetry datasets, optimize browser performance (Web Workers, OPFS, WebAssembly), contribute to component library, and collaborate with backend and product teams while engaging customers to shape the product.

Own and build the frontend for agentic AI features: design agentic UX, streaming responses, long-running tasks, and render agent findings alongside large telemetry datasets. Optimize browser performance (Web Workers, OPFS, WebAssembly), contribute to component libraries, collaborate on APIs, and work directly with customers to translate workflows into product features.