Top AI Engineer Jobs

Design and implement multi-step agentic AI workflows (orchestration, retrieval, tool use, state management) using frameworks like LangGraph/LangChain. Build retrieval pipelines over proprietary CRE data, evaluate and monitor model quality with human-in-the-loop processes, integrate Anthropic models on AWS Bedrock, implement guardrails and observability, and rapidly prototype features with Product and Design to deliver trustworthy, source-linked AI capabilities that perform real business actions.

Design, build, optimize, deploy, and support large-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, observability). Partner with cross-functional teams, introduce LLM optimization techniques, and contribute to technical vision and roadmap for foundational AI infrastructure.

Lead architecture and development of Back-End CAD flow (FlowJam), partner with Physical Design teams to define synthesis/place-and-route/timing and power methodologies for advanced nodes, improve QoR and automation, integrate AI-driven optimization, collaborate with EDA vendors, and mentor engineers.

Design and implement AI systems and scalable ML models (Python, TensorFlow); build/maintain data pipelines and integrations; apply NLP (NLTK) and deep learning for analytics; deploy and optimize models (including open-weight LLMs); collaborate with stakeholders and continuously learn to improve AI solutions and deployment reliability.

Design, build, and deploy production AI agents and orchestration systems using tools like LangChain and LlamaIndex. Apply prompting, RAG, fine-tuning, and model selection. Architect agent reasoning and workflows, implement monitoring and evaluation, and integrate AI systems with backend and frontend services for scalable, reliable, compliant production deployments.

Design and deploy agentic AI systems that automate multi-step financial workflows. Architect agents using frameworks like LangChain and LlamaIndex, apply prompting, RAG, and fine-tuning, optimize reasoning and tool use, build feedback-driven systems, and integrate AI reasoning securely into production backend and frontend services.

The Applied AI Engineer designs and deploys AI-powered solutions, collaborating with teams to automate workflows and improve efficiency across Alloy.

As a Staff AI Engineer at Fieldguide, you will define technical direction, build AI systems, mentor engineers, and drive organizational leverage across various teams, while focusing on enterprise-grade reliability.

The role involves designing and building AI agents for audit workflows, owning product areas end-to-end, and mentoring other engineers.

As an AI Engineer at Fieldguide, you'll develop AI agents for complex audit workflows, design systems for reliability, and optimize agent capabilities based on customer needs. You'll build and integrate systems using LLMs and ensure agents improve over time, collaborating closely with product and design teams.

As an AI Engineer, you will create a unified evaluation infrastructure for AI agents, ensuring reliable performance while integrating automated pipelines and feedback systems for rapid model evaluation and quality assurance.

As a Senior AI Engineer at Octus, you'll design and implement AI systems, build LLM-driven applications, optimize architectures, and ensure production reliability at scale, while collaborating cross-functionally to deliver effective solutions.

Lead design, deployment, and production scaling of LLM-based and agentic AI systems; evaluate and benchmark models; build prototypes and production AI pipelines; collaborate with engineering and business stakeholders; influence leadership and mentor junior team members.

Build and deploy production-scale AI/LLM systems: own ML lifecycle from model development to serving, optimize GPU/Kubernetes deployments, design LLM applications and APIs with monitoring, apply CI/CD and version tracking, collaborate with product teams, and contribute to AI engineering best practices.

Lead the development and deployment of AI-powered products with a focus on foundational AI systems, LLM optimization, and team collaboration to enhance user experiences in banking.

The Lead AI Engineer will develop and deploy AI components, optimize large language models, and improve AI systems performance while collaborating with cross-functional teams.

The Senior Platform AI Engineer will develop production infrastructure for AI features, focusing on server architecture, agent orchestration, and AI model lifecycle management. The role requires building efficient systems and collaborating with various engineering teams to optimize workflow and enhance deployment processes.

The Senior Applied Research Engineer will focus on improving AI systems through experimentation and research, collaborating with engineering teams to implement findings into production systems.

As a Lead AI Engineer at Capital One, you will design and support AI software, develop LLM and optimization techniques, and collaborate with cross-functional teams to innovate AI products.

As a Senior Lead AI Engineer, you will design, develop, and optimize AI systems while collaborating with a cross-functional team to implement AI-driven products.

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.

This role involves defining AI architecture, improving system quality, leading teams, and building production-ready AI systems at Drata.

As a Lead AI Engineer, you will design and develop AI components, collaborate across teams, improve performance, and contribute to Capital One's AI vision.

The Senior Lead AI Engineer will design and develop AI-driven products, enhance scalable AI systems, and collaborate with cross-functional teams.

The Sr. Lead AI Engineer will design scalable AI services, lead technical projects, improve architectures, mentor engineers, and ensure quality in AI systems.