Top Software Engineer Jobs

Summer IT internship providing hands-on assignments across application/automation development, AI, cloud, data & analytics, security, networking and telecommunications. Interns receive mentorship, networking opportunities, and deliver a capstone presentation. Typical internships last 10–12 weeks in Bartlesville, OK or Houston, TX.

Build and scale secure, performant backend APIs and core platform services powering Microsoft Copilot. Develop high-quality, tested, maintainable code; collaborate with product managers, designers, data scientists, researchers, and engineers; resolve complex technical challenges; and rapidly deliver AI-powered consumer experiences.

Design, build, and operate cloud-scale, multi-tenant services for Microsoft Edge and Copilot app management. Drive architecture, reliability, security, and cross-team integration from design through production. Mentor engineers, lead technical initiatives, and use telemetry to improve product quality and customer experience.

The Senior Backend Engineer will lead AI-focused projects, optimize data pipelines, mentor juniors, and enhance customer support through innovative technologies.

The Senior Software Engineer will build AI solutions for clinical workflows, collaborating with teams to enhance software architecture and mentor other engineers.

The role involves building AI agents for healthcare practices, focusing on reliability, data pipelines, automation, and production systems.

As a Principal Software Engineer, you'll design and deploy ML-powered tools, build scalable backend systems, and engage with clients for AI solutions. You'll work on R&D for innovative tools and manage cloud operations to support ML models.

This role involves developing AI-powered analytics interfaces and tools, collaborating with a skilled team to enhance customer data experiences.

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 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.