AI Engineer

AI Engineer

Design and implement production-grade AI agents and multi-agent systems that leverage enterprise data and modern web platforms. Act as a hands-on delivery consultant to build and manage tools, connectors, and RAG capabilities within the Microsoft Azure ecosystem.

AI Engineer

The AI Engineer will design and implement production-grade AI agents and multi-agent systems that leverage enterprise data and modern APIs. This role involves building RAG capabilities, managing AI connectors, and implementing safety guardrails to ensure high-quality AI performance.

AI Engineer

You will build full-stack components, backend services, and API integrations to power AI pilots and prototypes. Additionally, you will contribute to the Power Agents library and maintain the team's AI agent workforce through tool integrations and observability instrumentation.

AI Engineer

The role involves building customer-facing features from scratch using strong frontend skills while integrating and scaling the underlying AI infrastructure. This includes owning features end-to-end, crafting reliable software, and applying applied AI knowledge beyond the API layer to ensure system reliability.

Senior Software Engineer, AI

Senior Software Engineer (AI & Full Stack)

Gen AI Engineer

Senior AI Engineer - Americas

Senior Agentic AI Engineer

Senior AI Engineer, MapGPT

You will own the technical design and delivery of multi-component AI systems, including building data pipelines and evaluation frameworks for non-deterministic behavior. You will also participate in an on-call rotation to ensure system availability and iterate on model harnesses to improve product performance.

Senior Applied AI Engineer

Lead the end-to-end lifecycle of AI solutions, from discovery and design to production deployment and monitoring. Collaborate with stakeholders to define success criteria and ensure AI capabilities are effectively integrated into business workflows.

Staff Software Engineer, AI Systems

You will design and implement backend architecture for agentic AI systems, integrating LLMs with structured insurance data and platform APIs. Additionally, you will collaborate with cross-functional teams to build infrastructure for prompt iteration, evaluation, and production deployment of AI-powered workflows.

Senior Principal Software Engineer (AI Native) - Remote

Lead the design and delivery of high-impact, scalable AI-native software systems while partnering with cross-functional teams. Guide engineering teams through technical decisions, architecture, and mentoring to ensure high-quality code and operational excellence.

Full-Stack Engineer, AI Platform

Design and build interfaces for business teams to configure and manage AI agents while ensuring system observability. Partner with business teams to translate operational needs into reliable, scalable software solutions.

Staff AI Engineer

Design, build, and operationalize scalable Generative AI solutions and machine learning models within a HIPAA-regulated healthcare environment. Collaborate with cross-functional teams to define project requirements, ensure compliance, and mentor engineering staff on AI best practices.

Software Engineer - AI

You will design and implement production-grade AI solutions, including conversational agents and RAG systems, to solve complex business and product challenges. You will also be responsible for measuring and optimizing these AI systems for reliability, latency, and cost-efficiency.

Senior Software Engineer - AI

Build and deploy production-ready AI experiences including conversational agents, RAG systems, and intelligent automation. Translate ambiguous product problems into scalable, secure, and cost-efficient AI services using a variety of LLMs and backend technologies.

Software Engineer, AI & Automation - Canada

You will design and build AI-enabled systems and automation tools to enhance security workflows across the organization. This includes developing production-grade Python services, managing AI system quality, and integrating security guidance into engineering pipelines.

Applied AI Engineer

You will build and deploy full-stack AI-powered applications on 2-to-4-week sprint cycles, taking PoC blueprints from concept to production. You are responsible for integrating these tools into core data infrastructure and ensuring they are operational before handing them off to maintaining teams.

AI Engineer - Canada

Design, develop, and deploy production-grade AI applications using LLMs, RAG pipelines, and agentic workflows. Own end-to-end implementation from frontend to backend while collaborating with cross-functional teams.

Senior Software Engineer - AI Security

You will own end-to-end product development for AI security, building and shipping LLM-driven workflows and intelligent systems. You will define problems, make architectural decisions, and execute independently across the full stack.

Staff Applied AI Engineer

The Staff Applied AI Engineer will architect and develop backend systems, APIs, and agents that integrate foundational AI models into the company's technology stack. They will drive test-and-learn experiments and build scalable infrastructure to support AI-powered solutions and business automation.

Staff Agentic AI Engineer - Marketing

Design and build production-grade AI agentic systems that optimize customer experiences through reasoning, tool use, and retrieval workflows. You will also develop LLM evaluation systems and maintain scalable Python services within AWS cloud environments.

Staff AI Engineer

You will design, build, and ship production AI systems, focusing on retrieval, graph, and inference layers to automate complex digital workflows. The role involves managing AI observability, evaluating model performance, and setting technical patterns for other engineering teams to follow.

Software Engineer - AI Automation

You will design and deploy AI agents to automate manual business processes by integrating with internal systems of record. This involves building evaluation sets to ensure reliability and partnering with data teams to manage data quality and access.

Cloud Engineer – AI Solutions (Manager) - Remote

Design, provision, and operate end-to-end cloud-native environments for AI and data engineering solutions. Collaborate with cross-functional teams and client stakeholders to ensure secure, scalable, and production-ready infrastructure.

Senior DevOps Engineer, AI Platform

You will design, provision, and operate scalable production infrastructure for AI platforms, web applications, and backend services. This includes managing Kubernetes environments, CI/CD pipelines, and implementing end-to-end observability to ensure system reliability and performance.

Product Engineer (AI / Full-Stack)

You will own product features end-to-end, from customer discovery and technical planning to production deployment and validation. You will work across the full stack to build agent-first research tools while collaborating directly with founders and the engineering team.

Applied AI Engineer

The Applied AI Engineer will design, build, and deploy AI-powered applications to solve business challenges and improve operational efficiency. They will collaborate with cross-functional teams to integrate AI solutions with enterprise data and systems while ensuring performance, scalability, and security.