Top Software Engineer Jobs

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.

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

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.

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.

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.

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.

Build and own frontend surfaces for agentic AI used by hardware engineers: design streaming/long-running interactions, render agent outputs alongside large telemetry, optimize browser performance (Web Workers, OPFS, WebAssembly), contribute to component library, and collaborate with customers and backend engineers from MVP through iteration.

Lead and manage SAP ERP and procurement systems while developing AI-powered analytics, agents, and modern dashboards. Ensure integrations, data integrity, and adoption of global ERP initiatives. Build Python-based applications, implement RAG solutions, develop SQL data pipelines and REST APIs, and partner with stakeholders to deliver scalable automation and reporting.

Design, build, and optimize Azure cloud-native applications using .NET/C#. Implement serverless, distributed architectures, data pipelines, and CI/CD. Leverage AI-assisted development tools, apply TDD and automated testing, mentor engineers, participate in architecture and DevOps, and ensure performance, security, and compliance.

The role involves developing full-stack features swiftly, utilizing AI tools for coding, managing front and backend systems, and ensuring production quality through testing and CI.

Design and build an end-to-end wireframe generation and vibecoding workflow that turns design intent into interactive, deployable UI components. Curate the enterprise design system into machine-consumable artifacts, establish Storybook as the canonical review surface, define human-in-the-loop UX review, and partner with client UX and delivery teams to integrate components into the MFE shell and downstream SAFe decomposition.

The Engineering Manager will lead a team in Applied AI, focusing on building scalable systems, driving evaluations to improve model performance, and managing engineering talent.