Top Entry Level Artificial Intelligence Software Engineer Jobs

Lead development of high-performance Rust parsers, compilers, automata, indexes, and data structures for structured language-model generation. Optimize decoding-loop performance through profiling and benchmarking, integrate Python bindings and C++/CUDA components into inference engines, collaborate across teams, and maintain production-quality code through testing and CI/CD.

Design and build large-scale software systems that improve engineering development velocity, quality validation, cost, and performance. The role focuses on query optimization, query execution, compiler design, database internals, and distributed systems infrastructure. Responsibilities include operating production systems, solving complex computer science problems, collaborating across teams, mentoring junior engineers, and aligning delivery with current customer needs and future technology trends.

Build and own BOB’s financial infrastructure, including Go and PostgreSQL money-movement systems, payment lifecycles, ledgers, treasury primitives, provider integrations, and AWS production infrastructure. Ship full-stack product features across APIs, data models, and Next.js interfaces. Troubleshoot failures across the stack, create operational tools and runbooks, and help deliver a reliable, secure financial product as a high-agency founding engineer.

Translate Python code into C++ for API integration, parse brain-computer interface data, and support research and development through testing and refinement of Unity applications. The role also involves designing, building, testing, and maintaining reliable C++ code, improving code quality and automation, rapidly prototyping features, and documenting technical work in a fast-paced startup environment.

Develop software infrastructure for AI-era data management at VAST Data. The role is designed for a new college graduate and involves writing clean, documented code using C, C++, or Python, applying data structures and algorithms, communicating effectively, and learning through mentorship from senior engineers.

Build and scale Tightrope’s AI-powered commercial facilities platform. Develop systems for ingesting leases and insurance documents, identifying liability exposure, modeling property data, integrating with external systems, and powering email and voice agents. Work directly with property management customers to discover workflows, create accurate and explainable AI products, and shape the company’s technical foundation and future product direction.

Owns the wireless software stack for a distributed mesh sensor network, including radio configuration, telemetry, diagnostics, chipset integration, fleet tooling, RF simulation, and field deployment support. The role requires debugging across radio, driver, kernel, embedded, and application layers while collaborating with RF, hardware, embedded, and backend teams to improve wireless performance, video quality, and reliability.

Leads and develops a team of 7+ engineers while owning technical direction, roadmap, execution, architecture, design reviews, production incidents, scalability, reliability, and engineering quality. Partners with Product, Research, and other teams to align priorities and deliver complex technical projects. Requires strong people leadership, technical judgment, distributed systems experience, and cross-functional decision-making. Experience scaling teams and backgrounds in machine learning, AI infrastructure, or generative models are preferred.

Build frontend code for Alation’s AI-powered data intelligence product while applying strong UX and design judgment. Collaborate with product managers and engineers on copilot interactions, data visualization, and generative workflows. Improve component consistency, information hierarchy, progressive disclosure, and usability; resolve ambiguous product problems; and iterate based on team and user feedback. The role is hybrid in Redwood City, California, two days per week, and offered as a full-time contract with potential contract-to-hire.

Build and ship user-facing B2B commerce and payments products for managing payments, credit, and collections. Write clean, performant code, own features end to end, collaborate with design and product teams, shape engineering practices, and iterate with customers while solving ambiguous problems in an early-stage environment.