Top Entry Level Artificial Intelligence Software Engineer Jobs

An early-career software engineering resident will build and deploy production services, use AI tools to accelerate development, improve system performance, and collaborate with product, design, and engineering teams. The 18-week program requires full-time, in-office work in New York City and offers potential full-time employment after completion. Residents are expected to ship a real contribution, apply strong computer science fundamentals, and work effectively in a fast-paced environment.

Develop and maintain full-stack internal software tools used across Shield AI. Responsibilities include gathering and refining requirements, architecting robust solutions, deploying internal applications, and maintaining existing tooling. The role requires collaboration with multiple teams and may involve projects ranging from aircraft physics analysis to ticket tracking systems.

Build software simulators modeling the National Airspace System, including aircraft trajectories, weather, air traffic control, and pilot behavior. Design simulation infrastructure and physics-based models using discrete-time simulation, statistics, algorithms, and Monte Carlo analysis. Develop mission-critical software for aviation decision-support systems and collaborate across teams in a safety-critical environment.

Design, analyze, and implement real-time optimization software for tracking and planning aircraft trajectories across the National Airspace System. Apply operations research, optimization, statistics, data science, and machine learning to mission-critical aviation systems. Develop algorithms using approaches such as linear programming, mixed-integer programming, constraint satisfaction, and greedy optimization. Analyze large datasets, build predictive models, collaborate across teams, and use modern LLM tools to improve development workflows and code quality.

Develop and maintain satellite command-and-control, mission-planning, mission-data processing, and data-analysis software using Elixir. Collaborate on architecture, design, and code reviews while working across engineering disciplines. The role requires functional programming, resilient and fault-tolerant distributed systems, front-end development, live-system debugging, and strong communication. Preferred experience includes Elixir OTP, React, TypeScript, OAuth2, network protocols, databases, and distributed-system monitoring.

Leads an engineering team building Datadog’s Reference Tables platform, including its UI, MCP, APIs, control plane, metadata, permissions, validation, quotas, and lifecycle services. Defines technical direction and roadmap with product and engineering leaders, drives reliable large-scale distributed systems, establishes engineering practices, mentors engineers, and supports mission-critical infrastructure with 24x7 on-call operations.

Support development, testing, implementation and maintenance of application systems (Oracle E-Business Suite). Develop, code, debug and document small or straightforward programs; assist with integration, system testing, troubleshooting, and technical documentation. Provide end-user support and participate in migration, deployment and local integration efforts.

Leads Deepgram’s GTM Engineering function, owning CRM, CPQ, forecasting, billing, data, integrations, automation, and internal tooling. Translates commercial needs into scalable systems and AI-powered workflows, establishes engineering standards, connects usage and revenue data, and partners with Product, Engineering, Finance, and Data teams. This player-coach role designs, codes, tests, ships production systems, and develops a small team while prioritizing automation and operational leverage.

Build and improve data processing infrastructure and query engines supporting Palantir Foundry. Develop query planning rules, native execution capabilities, and large-table performance improvements using technologies such as Apache Spark, DataFusion, Iceberg, Arrow, and Parquet. Contribute across design, coding, testing, code review, and release while emphasizing correctness, compatibility, and predictable performance.

Develop and deploy applications on Unqork and AWS for the Producer Management ecosystem. Translate business requirements into scalable technology solutions, build reusable components and integrations, perform testing and debugging, and support applications throughout the software development lifecycle. Collaborate with architects, engineers, business stakeholders, Scrum Masters, and Product Owners while serving as a technical SME and contributing to architectural improvements and AI-enabled development.

Staff Software Engineer leading customer-centric, AI-native product development from discovery through production and adoption. Responsibilities include partnering with customers, product, and design; forming and testing product hypotheses; building new product surfaces; designing scalable architectures; using LLMs, agents, retrieval, and evaluation tooling; instrumenting outcomes; setting technical standards; mentoring engineers; and driving iterative delivery.