Top Entry Level Artificial Intelligence Software Engineer Jobs

Build and ship end-to-end memory and search experiences across Claude products, from backend services and retrieval infrastructure through model tools and user interfaces. Run user-facing experiments, improve retrieval relevance and ranking, define product metrics and evaluations, and ensure privacy, consent, enterprise controls, latency, reliability, and product quality. Collaborate closely with product, design, legal, privacy, and safeguards teams while participating in on-call responsibilities.

Develop and validate a robotics SDK across humanoid and quadruped platforms. Own hardware bring-up, edge-side integration, on-device inference, developer tools, web services, and verification on real robots. Build simulation environments and deploy motion policies as the platform evolves. The role combines software development, embedded systems, robotics middleware, full-stack development, and multi-vendor hardware integration.

Build polished, responsive front-end applications for Chiri Brain and client-specific AI solutions. Design user flows, prototypes, interfaces, reusable components, and design systems while integrating APIs, authentication, business data, agent workflows, and security controls. Work directly with customers and stakeholders to understand needs, rapidly prototype, gather feedback, and ship production-quality software. Help establish scalable front-end architecture and use AI-assisted development tools to accelerate delivery.

Develop and mature the LLDB-based Mojo debugger, including interactive debugging, IDE integration, debug information, expression evaluation, GPU debugging, profiling, and MCP capabilities. Define the debugger roadmap, collaborate with compiler and developer relations teams, engage the developer community, and support open-source contributions. The role requires LLDB internals expertise and strong knowledge of debuggers, linkers, compilers, and systems programming.

Lead technical design and execution for complex products and engineering initiatives. Build scalable systems across backend, frontend, APIs, databases, and infrastructure while remaining hands-on with coding, reviews, debugging, and production support. Set engineering standards, make architecture decisions, mentor engineers, identify technical risks, improve tooling and automation, and partner with product, design, and AI teams to deliver reliable products.

Build end-to-end fullstack features for logistics and national security systems. Responsibilities include developing performant APIs, creating relational data models, building data pipelines, collaborating with product and UX teams, writing tested production code, and improving CI/CD workflows. The role may involve classified environments and requires the ability to obtain and maintain a U.S. government security clearance.

Supports the design, implementation, testing, and documentation of real-time embedded vehicle control software. Develops maintainable C/C++ and MATLAB-generated code for embedded platforms, participates in peer reviews and software processes, creates UML designs, supports prototype through production software, and collaborates with engineers, business teams, and suppliers. Requires basic engineering analysis, adherence to CMMI Level 3 procedures, and occasional off-site project travel.

Build and ship end-to-end product solutions across Paraform’s recruiting marketplace, AI matching systems, and recruiting operating system. The role involves identifying high-impact problems, designing solutions, developing across the stack, improving recruiter and company experiences, and owning business outcomes including revenue, retention, and marketplace growth.

Design, build, and maintain backend systems for healthcare benefits, including enrollments, payments, payroll, benefits management, data models, fund flows, and partner integrations. Improve automation, monitoring, observability, reliability, and scalability while owning production systems. Collaborate with product, operations, and engineering teams to solve complex problems, manage edge cases, and provide technical direction.

Design, build, deploy, and support production-grade integrations between the Blue Machines platform and client systems. Develop API, cloud, and AI/LLM integrations; collaborate with clients on deployment, debugging, and optimization; and automate, document, and monitor workflows. The role requires Python or Java backend experience, cloud expertise, web technologies, authentication protocols, AI/LLM familiarity, and strong problem-solving and communication skills.