Top Entry Level Artificial Intelligence Software Engineer Jobs

Lead and mentor a software engineering team while overseeing software product delivery, project planning, hiring, and cross-functional collaboration. Drive cloud infrastructure best practices, infrastructure as code, automation, CI/CD, security compliance, and optimization of cloud performance, capacity, and costs. Align engineering objectives with business goals and foster innovation, continuous learning, and an inclusive, high-performing team culture.

Build and improve reliability tooling, automation, observability, and incident-management processes for autonomous vehicle software. Diagnose complex production issues across Linux, systems, logs, metrics, traces, and vehicle data; develop solutions that accelerate detection, triage, and recovery. Collaborate with software, field engineering, and operations teams while supporting safety-operator tools and partner vehicle programs. The role requires production coding and hands-on systems debugging in a hybrid Sunnyvale environment.

Build and own production systems powering the go-to-market organization, including lead routing, enrichment, pipeline forecasting, scoring, deal-desk workflows, and integrated CRM, product, and billing data layers. Work closely with founders and GTM leadership to design revenue systems, dogfood the company’s AI sales products, and influence the product roadmap. Deliver software that improves revenue performance while operating in a fast-paced, fully in-office startup environment.

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.

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.

Own growth-critical engineering projects from opportunity identification through launch and iteration. Build experiments across marketing, onboarding, activation, and product experiences; develop analytics and attribution infrastructure; define success metrics; and use data to guide decisions. Work across frontend, backend, and data systems while partnering with product and growth teams to deliver pragmatic, production-ready solutions.

Design, implement and support web and mobile (Android/iOS/hybrid) solutions as part of an Agile/SCRUM team. Participate in client meetings, learn deployment processes, communicate progress, and travel for on-site assignments and training.

Own the development of a 24/7 agent that monitors retailer drops, detects scarce inventory, automates checkout, tracks portfolios, and supports real-time pricing infrastructure. The role offers high autonomy, broad technical ownership, and responsibility for reliable production systems serving thousands of collectors. This is a full-time, in-person position in New York City.

Develop Java/J2EE full-stack applications using Spring, Spring Boot, microservices, Docker, AWS, REST/SOAP web services, and Oracle PL/SQL. Build front-end features with Angular, JavaScript, HTML5, CSS, jQuery, and MVC patterns. Apply object-oriented and service-oriented design, unit testing, continuous integration, and Agile practices. Collaborate with customers to formalize requirements and adapt to changing priorities.

The PHP developer will work with PHP and its frameworks, preferably Zend, to support various IT consulting projects.