Top AI Engineer Jobs

The Principal Edge AI Firmware Engineer will develop and optimize embedded software for AI applications, focusing on performance and energy efficiency. Responsibilities include enhancing AI runtimes, profiling tools, and ensuring customer integration across embedded environments.

Lead applied research and engineering for feedback-driven agentic AI: define reward modeling and reinforcement learning roadmap, design production learning loops and evaluation frameworks, run large-scale experiments, and ship research into production while partnering across product and engineering.

The Senior AI Product Engineer will develop and optimize AI product features, ensuring a seamless user experience through collaboration with engineering teams. Responsibilities include building full-stack features, implementing user feedback mechanisms, and monitoring product performance.

Build and lead development of Klaviyo's conversational AI platform: native chat surface, agent orchestrator, and agentic UI. Design scalable, reliable systems, ship high-quality code, mentor engineers, drive technical decisions, and improve AI-powered customer experiences.

Build and operate Coinbase's LLM and agent platform: design the LLM gateway, agent runtime, knowledge bases, AI spend governance, observability/eval tooling, and ship production agents while partnering cross-functionally to ensure secure, cost-effective, and responsible generative AI at scale.

Design and implement algorithms for packing and allocation in logistics, ensuring operational feasibility. Manage data and integrate solutions into workflows.

As an AI Engineer, you will design and implement systems that enforce feasibility and authority in logistics decision-making, ensuring compliance with command policies. You will work on integrating AI reasoning with execution workflows, handling data validation, and improving the decision-making framework.

Build and operate production agentic AI systems and LLM-powered features for financial services. Implement RAG pipelines, orchestration, and shared AI infrastructure; monitor, debug, and improve reliability. Collaborate with product and design, write production code, and follow security, explainability, and compliance best practices in a regulated environment.

Build and operate production-grade agentic AI systems and LLM-powered customer features. Design RAG pipelines over sensitive financial data, contribute to shared AI infrastructure (LLM services, agent orchestration, evaluation/monitoring), and own reliability, security, and compliance in production. Collaborate with product and design to deliver customer-focused AI solutions.

Lead development of AI-native production systems: convert AI-assisted prototypes into scalable, secure software; own architecture, reliability, and technical direction; direct and control AI coding agents; define engineering standards and workflows; collaborate with founders on product and strategy; debug complex issues and elevate engineering quality.

The Founding Staff AI Engineer will design and implement production-grade AI systems focused on document intelligence in the insurance sector, collaborating with co-founders to shape the architecture and roadmap for AI solutions.

The role involves building AI systems for customer support, creating automated insights, and operationalizing AI in workflows while collaborating with engineering and customer solutions teams.

Design, deploy, and maintain on-prem AI infrastructure and agentic systems. Build GPU clusters, model serving, vector DB-backed RAG pipelines, fine-tune and deploy models, implement governance (MCP), and automate CI/CD and monitoring to integrate AI capabilities into enterprise workflows.

Design and build the central AI orchestrator (Maestro) and distributed agents; own containerized deployment, observability, LLMops, evaluation pipelines, RAG optimization, and technical leadership for agentic production systems.

The Senior Customer AI Engineer will support enterprise customers' AI Marketing efforts, focusing on integrations, technical solutions, and optimizing customer outcomes while maintaining effective communication across teams.

Build and maintain backend, CI/CD, and data integrations for the NOS platform. Ramp on Palantir Foundry and AI/data tooling, write production code and tests, and collaborate with engineers and data scientists under senior review to deliver scoped features.

Build automated unit, integration, and end-to-end tests for NOS using AI-assisted generation and review. Translate NQA-1 regulatory requirements into traceable test artifacts and evidence. Establish defect tracking and V&V workflows, ramp on Palantir Foundry and NOS architecture, and help develop testing approaches for AI-powered features, including prompt regression and output validation.

Lead end-to-end AI/ML projects: build, deploy, and maintain LLM/NLP and ML models in production. Translate business needs into technical plans, collaborate cross-functionally, apply MLOps and observability best practices, and improve model performance and reliability.

Design and build full-stack AI prototypes; decompose products into model, retrieval, prompting, agents, and orchestration components; integrate APIs, databases, and cloud; define evaluation loops; perform error analysis; collaborate cross-functionally; and present results to founders and partners.

Design, build, and deploy agentic multi-agent AI systems and RAG pipelines for document intelligence and procurement workflows. Integrate and evaluate LLMs, implement orchestration frameworks, build human-in-the-loop approvals, and collaborate on production deployment, observability, and secure architectures for government acquisition environments.

The AI Engineer will develop innovative products using AI to enhance insurance operations by leveraging LLMs and structured data extraction.

As a Senior AI Engineer at Blank Metal, you'll lead the architecture and strategy for AI projects, ensuring system reliability and scalability while mentoring other engineers and translating business needs into technical solutions.

Develop and implement AI features, integrate LLM APIs, collaborate on system design, and mentor junior engineers in a production environment.

Citizen Health seeks AI/Machine Learning Engineers to develop AI solutions for healthcare using advanced ML techniques, focusing on rare diseases and patient care. Responsibilities include designing ML models, optimizing LLMs, and ensuring compliance.

Lead client discovery, design and deliver AI prototypes and integrations using LLMs, RAG, and agentic frameworks. Build, evaluate, and optimize models and retrieval pipelines, integrate AI into workflows, mentor teams on responsible AI, and produce evaluation and governance artifacts for federal clients.