Top Entry Level Artificial Intelligence Software Engineer Jobs

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.

Owns product features end to end, from user research and product decisions through interface design, backend development, data modeling, testing, and production deployment. Works directly with freight agents to identify high-impact workflow problems, ships quickly, iterates based on usage, establishes design patterns, and applies AI throughout development and the product experience.

Build provenance infrastructure for scientific data and workflows, including schemas, metadata systems, Python libraries, APIs, and durable records of agent activity. Support reproducible ML, simulation, and drug discovery workflows while transforming research prototypes into scalable production services. Establish engineering practices for testing, packaging, CI, releases, and documentation across local, cloud, and GPU environments. Collaborate closely with scientists and platform teams on storage, compute, and orchestration systems.

Develop SoC software, validation solutions, and test frameworks for CPU, GPU, and heterogeneous computing platforms. Work across user space, kernels, firmware, boot software, and applications from virtual prototypes through production deployment. Collaborate with architecture, ASIC, firmware, and platform teams to integrate capabilities, debug hardware and software issues, and improve system performance, reliability, power efficiency, and serviceability.

Work as an early, client-facing full-stack engineer to gather ambiguous customer requirements, architect solutions, and ship production-ready features spanning frontend, backend, APIs, and data integrations.

Serve as the company’s first technical hire and founding engineer for Larder, a remote-first professional video networking application. The role requires strong software development expertise and proficiency with AI coding tools such as Claude Code. The engineer will help build the product from its earliest technical foundations and shape the platform’s architecture and implementation.

Own and improve developer productivity through Bazel build infrastructure, CI reliability, developer tooling, reproducible environments, and streamlined engineering workflows. Optimize builds and tests across Linux, macOS, and GPU-enabled containers. Build internal tools as products, collaborate with robotics and research teams, and measure improvements in development velocity, onboarding, reliability, and troubleshooting.

Build and ship full-stack features for an AI platform, collaborating directly with customers to understand workflows and turn pain points into reliable products. Own delivery from specification through production, including data models, APIs, front-end development, testing, monitoring, and iteration. The 12-month in-person program also provides exposure to sales, leadership, startup operations, investors, and company building.

Build scalable software infrastructure for electrical, thermal, and electromagnetic simulations. Develop automated pipelines, distributed execution, parameter sweeps, solver integrations, quality checks, provenance tracking, and reproducible dataset workflows. Optimize simulation throughput, cost, and reliability while collaborating with machine learning and hardware teams to validate results and generate training data.

Build developer tools and research infrastructure that accelerate engineering and AI research. Responsibilities include improving coding agents for development, testing, and code review; creating better development environments, faster tests, and reliable deployment workflows; and building a platform for launching experiments, comparing results, and guiding future research.