Top Artificial Intelligence Software Engineer Jobs

Build scalable backend services, APIs, workflow orchestration, integrations, and AI agent infrastructure for enterprise procurement, invoicing, contracts, and payments. Develop agent runtimes, multi-agent coordination, observability, evaluation, and testing systems. Ensure reliability, security, compliance, auditability, performance, and fault tolerance across distributed systems handling sensitive financial and operational data.

Design, implement, and test imaging and video algorithms and DSP microcode for Ambarella SoCs. Develop firmware, research and implement DSP algorithms, optimize CPU and memory usage, create hardware-block test code, and debug assembly. The role requires understanding computer architecture, video standards, image processing, neural network frameworks, software development practices, and cross-functional teamwork.

Build and refine front-end experiences for web and mobile: onboarding, checkout, gallery features, design system and enterprise dashboard. Collaborate closely with designers and PMs, ship fast, maintain aesthetic quality, and iterate with user feedback using React, Next.js and TypeScript.

Lead the design and development of mission-relevant software, build backend services and APIs, mentor engineers, and support technical demos.

Build and operate full-stack features across web platforms, API backends, SDKs, and desktop applications. Design React interfaces alongside APIs, data models, services, and protocols; build scalable, reliable systems; and diagnose issues across client, network, service, and database layers. The role requires strong TypeScript, React, SQL, database, networking, concurrency, and distributed-systems fundamentals, plus technical ownership and interest in AI and developer tools.

Lead client-facing architecture and delivery of secure, cloud-native applications using C#, .NET, and Microsoft Azure. Modernize legacy systems, guide distributed engineering teams, establish DevOps and infrastructure practices, and provide hands-on architecture, coding, troubleshooting, and technical leadership. Drive responsible AI-assisted and agentic development workflows, including human review and production hardening. Support discovery, workshops, proposals, technical sales, account growth, mentoring, hiring, and development of reusable Azure, .NET, modernization, and AI engineering practices.

Build and operate Qualitate’s go-to-market automation infrastructure across prospecting, enrichment, routing, outreach, reporting, and attribution. Develop AI agents and LLM-powered workflows, integrate revenue tools and APIs, create dashboards and experimentation frameworks, and maintain reliable, observable data pipelines. Partner with sales, growth, operations, and leadership to turn manual processes into scalable systems, improve data quality, and rapidly test and deploy new capabilities.

Own enterprise deployments end to end, serving as the primary technical customer contact from scoping through go-live and expansion. Design integrations and data flows, configure AI agents and workflows, build prototypes, diagnose production issues, and translate customer workflows into platform capabilities. Collaborate with customer engineering, operations, leadership, and vendors while feeding field insights into product development.

Own client data workflows from intake through validated delivery. Ingest, clean, transform, and validate healthcare datasets using Python and SQL; build automation scripts; troubleshoot pipelines with Engineering; ensure HIPAA-compliant, accurate outputs; package results with clinical context; track client metrics; and improve delivery playbooks and documentation.

Leads and manages a team of senior software engineers while contributing as an individual contributor. Responsibilities include planning and executing work, aligning delivery with business and product goals, managing risks, resolving technical conflicts, enforcing quality and security standards, evaluating performance, supporting team development, and maintaining a psychologically safe, high-performing culture.