The Hartford Financial Services Group · 5d ago
The Senior AI Engineer will architect, build, and operationalize advanced AI and multi-agent solutions leveraging RAG , GraphRAG , Agentic AI frameworks , and enterprise‑grade cloud engineering.
At Workleap, our engineering teams already ships more than twice as fast with AI. Now we’re expanding beyond code to everything around it: briefs, specs, design, launch, and measurement. The idea is simple: agents do the work, and people make the calls.
Raydar is recruiting for this role on behalf of our client. Design and build production AI services for business and consumer users, owning features from early design through deployment, with attention to user experience, evaluation and safeguards.
Design, build, and own ClickUp's AI evaluation system , including golden datasets, LLM-as-judge and automated scorers, regression detection, and quality tracking across AI features.
Architect Agentic Automation: Compose, build, and deploy foundational agentic automation loops that streamline workflows spanning safety evaluations, red-teaming, model testing, model post-training and ablations.
At Workleap, turning AI experiments into production capabilities is already part of how we build products and improve internal operations. Our Data team brings strong data engineering and science foundations; this role adds dedicated production AI engineering.
Build and develop full-stack AI-powered product features. Develop and optimise LLM, computer vision, and agent-based systems. Create evaluation, testing, prompt engineering, and fine-tuning frameworks. Work across front-end, back-end, DevOps, and MLOps environments.
TalentFish is casting a line for a Senior Data and AI Engineer This is a direct hire role in Downtown Chicago with are premier client in the manufacturing industry – our client is a high growth progressive organization – best place to work – dynamic leadership team – employee…
Architect and scale intelligent failure triaging and automated Root Cause Analysis (RCA) frameworks capable of processing petabyte-scale simulation and real-world vehicle logs.
Use and develop AI-powered tools to make software testing smarter, faster, and more effective! Improve test case generation, defect detection, flaky test analysis, regression testing, and test coverage optimization.
As a member of this team, you will help shape a new way for people to interact with their PCs and connected devices through local AI.
We at Peloton are looking for a scrappy, creative and fast-moving AI Engineer. You’ll take raw ideas and rapidly transform them into production-grade applications that empower our global organization.
We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.
The Forward Intelligence team owns the skills that power Workday's deployment agent—turning the deep configuration expertise and hard-earned wisdom of our Domain Experts and Deployment Consultants into production-grade, fully tested skills that the agent can execute lawfully in…
The Forward Intelligence team owns the skills that power Workday's agent platform responsible for customer onboarding through the full post-deployment lifecycle - turning the deep configuration expertise and hard-earned wisdom of our Domain Experts and Deployment Consultants…
Implement end-to-end CI/CD workflows in a large-scale, distributed environment—enabling both on-demand and scheduled builds and deployments with zero downtime.
Build and own production supply-chain applications on Palantir Foundry and AIP, including data pipelines, Ontology models (object, link and action types), analytical functions, operational interfaces (Workshop and OSDK) and controlled actions.
True Talent Solutions Partners · 11d ago
Join a small product engineering team building AI-powered tools for commercial operations in manufacturing. You will help develop production-ready AI agents for quoting, pricing, and sales workflows, with a focus on complex business processes and enterprise systems.
Concurrence · 12d ago
Applied AI is where Concurrence meets the real world. Our core engineering team builds the platform. We take it into health systems and build what each customer actually needs on top of it, as durable software that runs in production.
Drive the architecture and implementation of math libraries APIs and documentation structures designed to be LLM-first: introspectable, explainable, and easily synthesized by AI agents. Work with internal and external stakeholders to deliver timely LLM-enhanced library releases.
Design and implement AI-driven optimizations within software development workflows to enhance developer productivity, accelerate feedback loops, and improve release reliability.
Develop infrastructure software and tools for large-scale pre-training, post-training, and inference. Develop and optimize tools and libraries to improve infrastructure efficiency and resiliency. Co-design and implement APIs for integration with NVIDIA's resiliency stacks.
Design and scale observability platforms handling high-volume metrics, logs, and traces across distributed environments. Build high-performance backend services for telemetry ingestion, processing, and routing.
115 Senior Ai Engineer jobs paying $100k+ are listed on Six Figure Jobs. The average salary is $199k USD. Every listing shows its salary range from the employer’s posting. Use the filters to narrow by seniority, location, skills or work type.
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