Top AI Engineer Jobs

As a Software Engineer, AI, you'll develop AI-driven pharmacy benefits software, maintain systems, collaborate on design, and troubleshoot production issues in a rapidly growing health-tech company.

Design and implement AI solutions to automate workflows, enhance decision-making, and ensure security in sensitive environments, requiring deep technical expertise.

Technical leader defining architecture and implementation for agentic AI in clinical workflows. Decompose workflows into multi-agent systems, select orchestration tools, drive productionization, partner with product and data science, ensure alignment with reference architecture, and maintain documentation and evaluation practices to deliver clinical value.

Senior Software Engineer position focused on developing AI-powered systems in the trucking industry, leading projects from conception to delivery and mentoring other engineers.

Design, build, and deploy AI systems for manufacturing workflows, including agentic automation, RAG/semantic search with vector DBs, evaluation frameworks, LLM integrations, full‑stack features (React/TypeScript/GraphQL/Postgres), developer tooling, and operational responsibilities including on‑call duties and cross‑functional leadership.

The Senior Software Engineer will develop and integrate LLM-powered features, build AI capabilities for logistics operations, and collaborate with Data Scientists and ML Engineers to deliver AI solutions at scale.

The Staff AI/ML Engineer will lead AI product development, ensure system health, and collaborate with teams on product features while maintaining security and compliance.

The Data Scientist will lead the implementation of advanced analytics solutions, mentor teams, drive business development, and evaluate project impact.

As a Senior QA Engineer, you'll develop and automate test cases, leverage AI for enhanced QA processes, and collaborate cross-functionally to ensure quality standards in product development.

As an AI Research Engineer, you'll partner with customers to advise on AI evaluation and data collection projects, design methodologies, and mentor team members in AI concepts.

As a Solutions Architect, you will partner with media organizations to leverage Generative AI, ensuring effective deployment and driving business value through technical guidance and architecture design.

The Solutions Architect will guide partners in leveraging OpenAI API and ChatGPT, ensuring high-impact integrations and providing technical support for applications and commerce experiences.

The Rack Product Engineer will manage the development, manufacturing, and lifecycle of rack infrastructure for datacenters, ensuring reliability and efficiency in collaboration with various engineering teams.

The AI Support Engineer will troubleshoot complex customer issues, utilize emerging AI technologies for support, and improve operational processes in a hybrid team environment.

Build production-ready AI solutions by writing Python code, tuning LLMs and prompts, implementing data pipelines and ETL, integrating APIs, and working directly with clients to ensure successful deployments.

The intern will develop iOS app features, collaborate with teams, improve app performance, debug issues, and contribute to AI-assisted workflows.

Develop and ship features in an Android app, improve app performance, support Growth initiatives, and contribute to AI-assisted workflows.

Contribute to AI-driven tools for optimizing energy operations, integrating ML models, and enhancing forecasting. Develop full-stack applications, collaborate across teams, and support data processing.

As a Senior Software Development Engineer, you will design and build AI-powered productivity tools, partnering with teams to innovate and streamline workflows across PitchBook, while leading complex initiatives and mentoring other engineers.

The Staff Engineer in Applied AI is responsible for designing, building, and deploying production-ready AI systems, collaborating with teams to enhance customer experiences and automating workflows.

Build and deploy LLM-based chatbots and machine learning models, integrate agents with enterprise databases and APIs, perform data preprocessing and model evaluation, automate data pipelines, and collaborate with internal teams and clients.

Lead design and scalability of Java-based backend services for a multi-tenant platform. Architect high-throughput, low-latency systems, integrate core data stores, modernize legacy Java components, improve observability and CI/CD, and mentor engineers while driving platform strategy and reliability.

Build, maintain, monitor, and scale AI products and components. Collaborate with product, architecture, and design leads to deliver reliable services, evaluate technical tradeoffs, and define roadmap. Mentor teammates, work autonomously, and apply engineering and DevOps best practices to ensure software quality and operational excellence.

The AI Data Engineer at NiCE will support interaction analytics, transforming unstructured customer experience data and collaborating with sales and product teams to enhance analytics solutions.

The Staff Software Engineer will design and deliver production-grade LLM workflows, integrate LLM capabilities, and build scalable systems while mentoring team members and maintaining high code quality.