Top Entry Level Artificial Intelligence Software Engineer Jobs

Build and deploy AI workflows, integrations, plugins, data pipelines, and proofs of concept for major customers. Diagnose production blockers, run technical evaluations and managed trials, scope deployments, accelerate customer onboarding, and convert successful solutions into reusable products. Partner with executives, engineers, Product, Engineering, and Creative teams while measuring customer outcomes and feeding recurring needs into the product roadmap.

Nagarro is seeking an Associate Engineer for Tech Support who will help solve tech-related issues and provide solutions. Ideal candidates are ready to advance their careers in a dynamic environment.

Build backend services, data pipelines, APIs, distributed systems, developer tools, and shared platform capabilities for AI products. Develop ML experiment tracking, artifact management, and automated training and evaluation pipelines. Improve reliability, latency, and throughput while collaborating with Product and ML teams. Own scoped projects involving implementation, testing, maintenance, and clean API design for enterprise and government customers.

Develop and maintain full-stack applications using Vue 3, Nuxt, JavaScript, Node.js, Firebase, Firestore, and Google Cloud Platform. Build APIs, microservices, integrations with AI and marketing platforms, payment systems, and cloud services. Troubleshoot UI, database, deployment, and API issues; write tests; and collaborate remotely with the CTO and development team. This is a part-time, equity-based startup opportunity requiring approximately 20 hours weekly.

Develop and deploy motion planning software for autonomous trucks. Own features end-to-end, from design and integration through testing and validation, while solving complex vehicle-behavior challenges. Build high-performance modern C++ and Python for resource-constrained platforms, collaborate across autonomy and systems teams, shape architecture and roadmaps, and use simulation and unit testing to ensure safe, reliable trajectories.

Develop and launch scalable full-stack Quora features using Python and React. Collaborate with designers, product managers, engineers, and data scientists to improve user engagement, moderation, creator experiences, and AI-powered content. Use experimentation and data to guide product iterations, contribute across the development lifecycle, and participate in on-call support for reliable service delivery.

Develops mission-critical workforce planning and decision-support applications using Palantir Foundry and AIP. Responsibilities include building data pipelines, Ontologies, Workshop applications, AI workflows, scenario analysis, and explainable recommendations. Partners with operational users to prototype and deploy solutions, integrates enterprise systems, leads technical delivery, and mentors engineering teams. The role is full-time onsite in the DC area and requires U.S. citizenship and an active Secret clearance.

Build and deploy custom AI agent workflows for enterprise customers, integrating NinjaTech with data sources, identity systems, CRMs, ticketing platforms, and internal APIs. Lead technical discovery, architecture, security reviews, customer adoption, and expansion. Develop prompts, tools, guardrails, and automations; troubleshoot production deployments; communicate with executives and frontline users; and provide feedback or reusable components to core engineering.

Build and ship end-to-end production features across APIs, databases, user interfaces, and testing. Work primarily with TypeScript, React, Next.js, NestJS, PostgreSQL, and related technologies. Integrate third-party services, maintain scalable systems, debug production issues, write automated tests, and make architectural improvements. The role requires ownership, proactive communication, independent execution, and effective use of AI coding tools in a remote, async-first team.

Develop and launch AI-powered applications and services from prototype through production. Build paid media integrations, work with APIs and external systems, make full-stack technical decisions, and collaborate with product and AI research teams. The role requires independently solving ambiguous problems, rapidly validating ideas, and delivering scalable, reliable software for enterprise customers.