Top Entry Level Artificial Intelligence Software Engineer Jobs

Own products end to end, from customer discovery and problem definition through design, implementation, launch, and iteration. Build polished frontend experiences, APIs, backend services, data models, infrastructure, and developer tools for AgentMail Studio. Improve onboarding, SDKs, documentation, debugging, and console experiences while engaging directly with customers and shaping product engineering culture.

Lead the architecture and development of Unity Ads’ iOS SDK. Design high-performance Swift components, ensure backward compatibility, collaborate with Android engineers, and own complex initiatives from design through rollout. Diagnose production issues involving lifecycle, concurrency, memory, networking, rendering, WebViews, and host-app integrations. Improve performance, reliability, crash rates, observability, and release safety while mentoring engineers and influencing technical direction.

One-year rotational software engineering program for emerging engineers. Participants rotate across frontend, backend, DevOps, and other teams; write production code; build scalable web applications; complete technical and soft-skills training; and deliver a customer-facing capstone feature. The program provides mentorship and broad experience with Java, ReactJS, AWS, Kubernetes, Ruby, and CI/CD. A bachelor's degree in computer science or a related discipline by May/June 2027, or equivalent relevant experience, is required.

Build and ship production software at the intersection of engineering, product, and customers. Translate real-world real estate and finance problems into technical solutions, work directly with founders and enterprise customers, and develop systems involving APIs, unstructured data, AI/LLMs, and customer-facing interfaces. The role offers high ownership, direct customer exposure, and responsibility for products supporting real estate developers and lenders.

Build interactive experiences across the company website, product, and special projects. Prototype ideas, refine interactions and motion, create visual essays and data visualizations, and develop responsive, accessible, performant websites. Collaborate with designers, marketers, and engineers from concept through production while creating reusable components and patterns. The role requires strong design instincts, frontend development ability, attention to typography and interaction details, and comfort with modern frontend and animation libraries.

As a Founding Engineer, you will own major product surfaces and contribute to AI search technology development at Petra Labs.

Build production software that automates hiring, financial forecasting, capital deployment, contract analysis, accounting, and operational workflows. Partner directly with finance, legal, treasury, recruiting, and delivery experts to convert real-world processes into structured data, generated work, and integrated systems. Develop AI-powered features using LLM APIs, MCP servers, and agentic frameworks, while independently identifying problems, designing solutions, and delivering quickly under deadline.

Build and ship secure, high-performance software across frontend, backend, full-stack, infrastructure, and applied AI teams. Collaborate with AI Research, Product, Design, and Legal Engineering; contribute to retrieval, document intelligence, workflow automation, enterprise agents, and infrastructure. Evaluate LLMs and AI systems, participate in design discussions and code reviews, and develop production features alongside experienced engineers.

Design, implement, test, and maintain resilient network software for teleoperated UGV swarms. Build low-latency video streaming and command-and-control systems, redundant connectivity and hot failover across mesh radios, satellite, and 5G networks, secure VPN solutions, and performance monitoring for throughput and latency. The role requires C++ or Python, Linux networking expertise, and collaboration in an onsite defense startup environment.

Operate and scale production inference systems serving live, multi-tenant traffic. Own model rollouts, observability, capacity planning, incident response, reliability, failover, and cost optimization. Partner with research and inference teams to productionize serving techniques while maintaining system performance and resilience.