Top AI Engineer Jobs

The Lead AI Engineer will design and implement LLM-powered applications, optimize RAG pipelines, and evaluate models while integrating AI systems into production environments.

The Senior Engineer collaborates with teams, designs and implements technical features, writes production-ready code, and ensures high-quality deliverables, while also engaging in research and learning on new technologies.

As a Staff AI Engineer, you'll design and deploy AI systems to automate financial workflows, optimizing architectures and integrating with production systems.

The Lead AI Engineer will develop AI software components, partner with cross-functional teams, and optimize large-scale AI systems at Capital One.

As a Senior Lead AI Engineer, you will design and deploy AI software components, innovate LLM optimization techniques, and collaborate with cross-functional teams to enhance banking experiences at Capital One.

Lead AI Engineer responsible for developing AI-powered products and deploying scalable AI solutions using technologies like LLM and machine learning algorithms. Collaborate with cross-functional teams to optimize performance and support AI systems.

As an AI Engineer, you will build and scale AI business applications, focusing on generative AI. Responsibilities include rapid prototyping, applying software engineering best practices, and providing production support.

Design, build, and scale production LLM, retrieval, and agentic AI systems for compliance automation. Implement evidence-grounded, explainable workflows, optimize for latency/cost/reliability, and embed human-in-the-loop guardrails while collaborating cross-functionally.

Lead cross-functional teams to develop and deploy AI-powered products, improve AI system performance, and create innovative AI solutions at Capital One.

Lead applied research on retrieval and reasoning for compliance-focused AI: design and evaluate RAG/agent strategies, build evaluation frameworks and ranking systems, run experiments, debug failure modes, and hand validated approaches to engineering for productionization.

The role involves designing AI systems and products, collaborating across teams, and ensuring responsible AI deployment while optimizing performance and mentoring peers.

The Senior Agentic AI Engineer will build agentic workflows for campaign control, focusing on RAG and safety in an AdTech environment.

Build and optimize agentic workflows for campaign control in AdTech, implementing RAG systems, safety protocols, and monitoring tools.

The Lead AI Engineer will develop and support AI software components, collaborate with cross-functional teams, and optimize large language models for performance and scalability.

As an AI Engineer, you will develop and support AI Systems for BioShock 4, collaborating across teams to integrate AI with storytelling, while testing and refining AI behavior and performance.

Lead technical direction for AI Receptionist platform, oversee engineering quality, collaborate with executives, and mentor future hires.

Design, develop, and deploy generative AI solutions and autonomous agents using foundation models. Build Python full-stack services, scalable REST APIs, cloud deployments, and apply LLMOps/MLOps and RAG/knowledge-graph techniques. Mentor teams and drive production ML lifecycle and monitoring.

Lead design, development, deployment, and support of foundational AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, and observability. Optimize large-scale AI performance (cost, latency, throughput), partner cross-functionally, and contribute to technical vision and roadmap.

This role involves leading the development of AI-powered products, optimizing large scale AI systems, and mentoring cross-functional teams. It focuses on designing and deploying AI components, contributing to the technical vision, and applying cutting-edge AI techniques.

Lead design and deployment of AI-powered identity platforms, architect agentic ecosystems and RAG pipelines, ensure reliability and scalability of data infrastructure, mentor engineers, and integrate AI systems with enterprise data tools like Spark and Dagster.

Own AI features end-to-end from ideation to production for partner brands. Build evaluation, regression, and monitoring systems; embed with customers; codify playbooks and reliability infrastructure to safely ship GenAI/agentic systems at scale in a regulated environment.

The Senior GenAI Engineer will develop and implement generative AI solutions for financial services, utilizing advanced AI techniques and frameworks, mentoring colleagues, and delivering production-ready applications.

The Senior Staff AI Engineer will lead AI initiatives, mentor engineers, and ensure the successful delivery of AI solutions for risk management at SoFi, focusing on scalable architectures and innovative AI techniques.

As a Senior AI Engineer, you'll develop ML and Generative AI models, ensure integration with enterprise applications, and manage large datasets while collaborating with teams and mentoring others.

The Senior ML/AI Engineer will enhance developer productivity for AV engineers at GM by designing, implementing scalable, reliable systems and mentoring team members.