RAG Jobs

We are seeking an Applied AI Engineer to build real-world AI applications, working across the full stack from backend services and retrieval pipelines to APIs and user-facing applications. This hands-on role is for someone who enjoys rapid experimentation with emerging technologies and taking ownership of projects from concept to production. You will collaborate closely with engineering and product teams, as well as customers and partners, to explore new use cases, develop reference applications, and showcase the capabilities of Pinecone's technology. The ideal candidate possesses strong full-stack engineering skills combined with practical experience in LLM-powered applications and agentic systems, comfortable with architecture discussions, production code, and prototyping.

$190k - $270k

Join NVIDIA's Modular Diagnostics team and lead AI-powered innovation. Our team develops key diagnostic applications and infrastructure to test every NVIDIA GPU, ensuring flawless performance before launch. As a Senior Software Engineer, AI Infrastructure Solutions, you will build intelligent automation to speed up critical engineering workflows and improve GPU validation speed and quality.

$152k - $242k

As a Senior Engineering Manager for Agentic Systems & Platform Architecture, you will lead the strategy and execution for NVIDIA’s agentic developer platform. This role involves deeply understanding how teams across the company build, evaluate, and improve autonomous agents, and translating these evolving patterns into scalable platform capabilities. You will identify gaps and friction, drive rapid proof-of-concepts on emerging agent constructs and ecosystem tools, and operationalize the best approaches into reusable building blocks, integrations, and governance mechanisms. The goal is to accelerate developer productivity and agent quality, enabling teams to safely ship more autonomous systems at NVIDIA scale.

$272k - $431k

Accenture

We are building the next generation of AI-native engineering talent, where AI is a core part of how engineers work, not an add-on. As an AI Engineer, you will design, build, and ship production-grade software across the full stack, using AI-assisted tooling as a standard daily practice alongside your core engineering skills. You will work on real client programs across industries, building production-grade software that connects to and supports agentic AI systems, understanding how your full-stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines. This role offers breadth across every industry and enterprise technology stack, combined with vendor fellowship access inside leading AI companies, structured AI certification pathways, and a clear development track toward agentic and forward-deployed engineering.

We are seeking a visionary and hands-on Lead Machine Learning Engineer to join our Austin team. In this role, you will be the principal architect behind the next generation of our unified AI/ML platform, designing and building the infrastructure that powers everything from traditional predictive models to generative AI, large language models (LLMs), and autonomous agent frameworks. You will own the end-to-end technical strategy, blueprint, and execution of scalable backend services and data pipelines that support AI-driven applications across go-to-market, engineering, and product teams. Because our products are initiated and owned entirely within the team, you will drive the vision from initial requirements and system design to global deployment, optimization, and long-term evolutionary ownership.

Cloudflare is seeking an Engineering Manager to lead a team focused on AI and Internet Data Insights. This role is within the Emerging Technologies & Incubation (ETI) department, responsible for building and launching new products. The team operates at the intersection of AI, search, retrieval, data insights, and product engineering, addressing emerging challenges in how AI agents discover and interact with the internet. Cloudflare's unique network position allows for solving problems at massive scale, improving content discoverability, and transforming internet signals into valuable customer experiences. The ideal candidate will be deeply technically credible, capable of understanding complex systems, challenging architectural decisions, and stepping in to solve technical problems when necessary. Success will be measured by the team's output, engineer development, and the quality of delivered systems and products.

At Cloudflare, we are looking for builders who are passionate about improving the Internet and have a curiosity for creating solutions with the latest AI tools. Our culture emphasizes iteration, leveraging AI to ship faster, and sharing knowledge to elevate the entire team. This role is for a technologist who enjoys collaborating with innovative companies, from founding engineers to CTOs, to help them build the next generation of Internet products and AI initiatives. You will be comfortable discussing technical architectures and strategic roadmaps, acting as a technical evangelist for the Cloudflare Developer Platform.

$214k - $336k

Cloudflare is seeking a Senior Customer Engineer specializing in AI and Start-Ups to join their team in Los Angeles. This role involves working with innovative, cloud-native companies and their technical leaders to integrate Cloudflare's Developer Platform into their products and AI initiatives. You will be a technical evangelist, comfortable engaging with developers, architects, and CTOs, translating customer needs into solutions using Cloudflare's offerings like Workers, Durable Objects, Workers AI, R2, and Vectorize. This is a pre-sales role focused on technical discovery, solution design, and driving adoption within the digital-native segment, requiring a builder's mindset and a strong understanding of modern web development and AI trends.

$231k - $300k

Customer Engineers on the Digital Native Enterprise team work with Cloudflare's most innovative and high-growth accounts. This role focuses on both the acquisition of new Digital Native accounts and the expansion of existing ones. The ideal candidate is a builder with a deep technical foundation and a commercial mindset, capable of engaging from the engineer in the weeds to the executive in the boardroom across Application Development, Performance, Security, and Infrastructure. As a Customer Engineer, you are a technologist embedded within the GTM organization. You own the technical relationship from initial discovery through onboarding, adoption, renewal, and expansion, delivering architectural value and measurable business outcomes across the entire customer lifecycle.

$214k - $336k

Accenture

This role is for a Forward Deployed AI Engineer who works directly within client enterprises to ensure complex AI platforms function effectively in real-world organizational settings. Unlike consulting or project delivery roles, this position focuses on owning production outcomes such as time-to-value, adoption, reliability, and scalability. The core challenge addressed is the gap between successful AI pilots and scaled AI capabilities, bridging it with engineers who can translate platform potential into measurable business value within enterprise environments. Forward Deployed AI Engineers are central to the company's Reinvention Deployment Engineering pods, offering opportunities to define the role at scale and tackle significant enterprise AI challenges across various industries.

Mirage is an AI video company focused on making creation dramatically easier by building multimodal agents that turn creative direction into edits, rendering engines that composite video and graphics, and generative video models. Our technology, including Captions (a creative workspace) and Tesseract (a video engine for AI agents), is now available more broadly through APIs. This role focuses on designing and building agentic systems that power creative workflows for short-form video, shaping how AI agents reduce friction, accelerate learning, and unlock new creative possibilities for users. You will experiment with emerging models and techniques to bring these experiences to life in production, working across product, machine-learning, and systems engineering to own problems end-to-end and help define how our agents are built and deployed.

$175k - $300k

Glean is seeking a Machine Learning Engineer to enhance the quality of its AI Assistant and autonomous agents. This role bridges production machine learning, LLM-powered systems, and product engineering, focusing on developing, evaluating, and refining assistant experiences for reliability and usefulness within enterprise workflows. You will tackle applied challenges in agent quality, evaluation, personalization, retrieval, and orchestration, with an emphasis on shipping production systems and improving the assistant's capabilities over time through enhanced signals, feedback loops, and end-to-end execution.

$180k - $205k

Glean is seeking software engineers to contribute to building a leading search and assistant product for the workplace. Engineers will work across the technology stack, focusing on areas such as generative AI, Retrieval Augmented Generation (RAG), query and document understanding, domain-adapted language models, natural language question-answering, and evaluation. The role involves close interaction with customers to understand their challenges and applying the most effective tools to solve them.

$175k - $270k

Accenture

You will design, build, and deploy production-grade agentic AI solutions across the full enterprise technology stack. This role involves working directly with client engineering teams, leading technical design sessions, and building reusable patterns and accelerators that scale beyond individual engagements. The position offers broad exposure across industries and enterprise technology stacks, with opportunities for vendor fellowship access and a direct pathway to a Forward Deployed Engineer program.

We are seeking an AI and data architect to design and deliver AI applications that run directly on client data within Snowflake, utilizing Snowflake Cortex. The ideal candidate understands that a strong data foundation and governance are crucial for effective AI models. You will be responsible for the end-to-end development of Cortex-powered applications, from initial architectural design to production deployment, collaborating with clients and engineers to translate abstract concepts into usable systems.

As a Senior AI Engineer, you will be at the forefront of our Generative AI initiatives, treating AI as a software engineering discipline. You will be responsible for the full lifecycle of our AI features, taking them from initial prototype to robust, scalable production services, while solving for real-world constraints like latency, error handling, and cost optimization. You’ll collaborate with a diverse range of clients to translate business needs into high-performance AI architectures. This role requires a blend of deep technical expertise in LLMs and a disciplined Software Engineering approach to ensure our solutions are robust, ethical, and scalable.

$159k - $219k

Cresta is seeking an AI Agent Engineer to join their mission of creating state-of-the-art AI Agents that solve practical problems for customers. This role focuses on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, ensuring solutions are cost-effective, secure, and reliable. You will work closely with customers and internal engineering teams to deploy high-impact AI agents, integrate them with external systems, and provide hands-on technical expertise. This position requires strong engineering skills, adaptability, and customer engagement, making it ideal for self-driven, analytical individuals eager to apply AI in practical applications.

$185k - $235k

We are seeking a Lead Engineer, AI Agent Voice Experience to develop the next generation of AI-powered voice systems for contact centers. This role involves working at the intersection of speech, language, and real-time production systems to enhance how AI listens, understands, reasons, empathizes, and responds in live customer conversations. You will be responsible for developing and improving end-to-end machine learning systems for voice experiences, including automatic speech recognition, turn detection, agentic workflows, voice evaluation, text-to-speech, speech-to-speech models, and production optimization. Collaboration with researchers, product managers, designers, and engineers will be key to translating model improvements into measurable business impact. This position is ideal for individuals passionate about both model quality and production realities, focusing on rigorous evaluation, failure analysis, latency and robustness improvements, and shipping reliable, scalable real-time voice systems.

$205k - $270k

Cresta is seeking a Staff Machine Learning Engineer to work on high-impact AI initiatives, focusing on next-generation agentic AI systems that augment contact center agents in real-time. This role involves leading and building these systems, requiring strong ML foundations, deep expertise in LLMs and prompting techniques, and a rapid prototyping mindset to translate research into scalable, production-grade systems. The engineer will also focus on improving the reliability, robustness, and performance of LLM-powered agents by designing evaluation frameworks, diagnosing failure modes, and defining measurable quality metrics. Additionally, the role includes architecting and scaling LLM and retrieval-augmented generation pipelines to process complex data and deliver real-time intelligence.

$230k - $300k

Cresta is seeking a Senior Machine Learning Engineer to join their team and work across several high-impact AI initiatives. The role involves leading and building next-generation agentic AI systems that augment contact center agents in real time, designing evaluation frameworks to improve the reliability and performance of LLM-powered agents, and architecting/scaling LLM and retrieval-augmented generation pipelines. Final team placement will be determined by experience, strengths, and business needs.

$205k - $270k