RAG Jobs

Anthropic

Anthropic is seeking Software Engineers to join the Memory & Search team, responsible for how Claude remembers users and finds information across Claude.ai, Cowork, and Claude Code. This role involves both user-facing experiences, such as how memory is displayed and edited, and the underlying infrastructure for memory services, indexing, retrieval, and vector search. The team has recently transitioned memory to a dynamic, editable system unified across products, and improved search functionality significantly. The focus is now on developing compelling product features that leverage memory and search, requiring engineers with experience in shipping user-facing products at scale, a strong sense for product quality, and expertise in building agentic systems where models, tools, and user interfaces collaborate. You will drive product experiments, analyze usage, and contribute to the team's product-centric approach. This role also involves close collaboration with product, design, privacy, legal, and safeguards teams to ensure features meet privacy and enterprise requirements.

$405k - $485k

As a Principal Forward Deployed Engineer at Invisible, you will lead high-impact, AI-powered solutions that reshape how clients operate their most critical workflows. You will drive the strategy, architecture, and execution of end-to-end systems, working directly with clients. This role is a hybrid of AI engineering, software building, and technical consulting, ideal for someone who wants to be hands-on with models and close to their impact. The team is increasingly focused on applied AI work, building and deploying LLM-powered and agentic systems in production, making strong ML engineering instincts a valuable addition to architecture and leadership experience.

$250k - $300k

As a Staff Forward Deployed Engineer (FDE) at Invisible, you will lead high-impact, AI-powered solutions that reshape how clients operate their most critical workflows. You will drive the strategy, architecture, and execution of end-to-end systems, working directly with clients. This hybrid role combines AI engineering, software building, and technical consulting, making it ideal for someone who wants to be hands-on with models and close to their impact. The team is increasingly focused on applied AI work, building and deploying LLM-powered and agentic systems in production.

$210k - $300k

We are seeking a Senior Enterprise AI Automation Engineer to play a key role in executing Crusoe's 2026 Enterprise AI Strategy. In this role, you will design and build agentic AI systems that move the organization from simple information retrieval to orchestrated, multi-system automation. You'll operate at the intersection of AI, enterprise systems, and integration platforms—building scalable agent workflows, enabling a citizen developer ecosystem, and establishing the technical foundations for an AI-powered operating model.

$145k - $170k

NVIDIA is seeking a Principal Engineer to lead critical platform initiatives at the intersection of information security, enterprise collaboration, and AI. This role is pivotal in shaping how NVIDIA protects sensitive content, manages enterprise data access, and enables next-generation AI agents at scale. The platforms encompass sensitive information protection, a central data governance layer for enterprise content, and an AI knowledge platform for reliable AI agent consumption. The focus is on access control, export-control enforcement, and production readiness. This is a high-impact individual contributor role with potential for engineering leadership and management, requiring strong technical skills and the ability to influence stakeholders across Security, Legal, Finance, and AI teams.

NVIDIA is building GeForce G-Assist, an on-device AI assistant that integrates Small Language Models (SLMs), retrieval systems, and hybrid cloud capabilities for responsive, context-aware assistance within the GeForce ecosystem. This role involves close collaboration across engineering and product teams to ensure G-Assist performs reliably in real-world scenarios. The focus is on production model behavior rather than just benchmarks, with an emphasis on accuracy, robustness, and conversational reliability. The team works with SLM and VLM architectures, hybrid cloud/local model architectures, and optimizes local inference for performance.

$152k - $288k

We are seeking a Senior Engineer to design, build, and scale the infrastructure that powers NVIDIA's AI agent ecosystem. This role sits at the intersection of distributed systems, developer platforms, and agentic AI, focusing on building foundational services that enable teams across the company to develop, deploy, orchestrate, and operate autonomous AI agents at production scale. You will be instrumental in creating the core platform that supports the full agent lifecycle, from registration to teardown, ensuring robust and scalable operations.

$200k - $391k

Our Internal Acceleration team is seeking a Research Engineer to build agents that accelerate the production of frontier tokens. You will collaborate directly with founders and embed with the production team to develop new agentic harnesses and operating systems, transforming hardware development in an AI-native world. This role involves working on harnesses, tool use, context, memory, execution environments, and evaluation frameworks to enable agents to perform long-running, useful engineering tasks. We are looking for individuals who thrive in ambiguous environments, possess strong product sense, and are eager to own problems end-to-end, viewing this as an opportunity to shape future ventures. The work is time-sensitive and business-critical, demanding dedication beyond a standard 9-5 schedule.

$150k - $400k

Our Internal Acceleration team is building agents to speed up the production of frontier tokens. You will collaborate directly with founders and embed with our special projects team to develop new agentic harnesses and operating systems, fundamentally changing how hardware is built in an AI-native world. Your success will be measured by the acceleration of Etched's progress, not just lines of code. This role is ideal for engineers who excel in ambiguous environments, possess strong product intuition, and are eager to own problems from inception to completion. It's a dynamic, time-sensitive, and business-critical position that requires dedication beyond a standard 9-5.

$150k - $400k

Our Internal Acceleration team is building agents to accelerate the production of frontier tokens. You will work directly with founders and embed with our production team to create new agentic harnesses and operating systems, transforming hardware development in an AI-native world. Success is measured by how much faster the company moves, not just lines of code. This role is for engineers who thrive on ambiguity, possess strong product sense, and want to own problems end-to-end, acting as a launchpad for future founders. The problems are time-sensitive and business-critical, and the role demands dedication beyond a typical 9-5.

$150k - $400k

Blee is seeking an Applied Scientist to specialize in agent system design, focusing on architecting and implementing the next generation of intelligent compliance systems. This role involves designing frameworks where multiple agents, powered by custom and foundational models, collaborate to identify, track, and explain compliance flags. You will also be responsible for building and optimizing applied AI/ML pipelines, including model fine-tuning, prompt engineering, evaluation frameworks, and customer-specific AI configurations, and training models based on user feedback to deliver more targeted compliance recommendations.

$150k - $275k

Our Internal Acceleration team is building agents to accelerate the production of frontier tokens. You will work directly with founders and embed with our kernels team to develop new agentic harnesses and operating systems, transforming hardware development in an AI-native world. This role focuses on harnesses, tool use, context, memory, execution environments, and evaluations that enable agents to perform long-running, useful engineering work. We seek engineers who thrive in ambiguity, possess strong product sense, and are eager to own problems end-to-end, understanding that this is a time-sensitive and business-critical role that may not adhere to a 9-5 schedule.

$150k - $400k

Anthropic

As an Applied AI Engineer on the Startups team, you will serve as a trusted technical advisor to leading AI-native startups in the physical world, spanning robotics, semiconductors, aerospace, manufacturing, and civil infrastructure. You will guide these companies from early product stages to scale, helping them integrate Claude into their product design, testing, and operations. This role involves leading deep technical engagements, partnering directly with startup software and hardware engineering teams to build their products on Claude and leverage it for their own engineering processes. You will bridge the gap between Claude's capabilities and the practicalities of building real-world physical systems, working alongside top teams on impactful problems and enabling mechanical, electrical, and process engineers to achieve significant advancements.

$280k - $320k

Anthropic

As an Applied AI Engineer on the Startups team at Anthropic, you will serve as a trusted technical advisor to leading AI-native life sciences and biotech startups, guiding them from early product development to scaling. You will partner directly with startup engineering and scientific teams to help them build products on Claude and integrate it into their research workflows. This role involves bridging the gap between Claude's capabilities and the specific needs of the life sciences, pushing the boundaries of AI in scientific discovery. You will collaborate with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams to enable startups to build at the forefront of AI in life sciences, developing custom evaluation frameworks, scalable architectures, and essential technical resources.

$280k - $320k

NVIDIA is seeking a Staff Engineer to develop the company's Enterprise Data Governance platform. This platform is crucial for protecting sensitive information, managing data access across all collaboration and content systems, and building a knowledge infrastructure that ensures the trustworthiness and accuracy of enterprise AI. The role presents a unique challenge in balancing the need for broad data access for AI agents with strict security, legal, and export control requirements. This position is ideal for technically strong engineers at the senior to principal level who are passionate about solving complex infrastructure problems and contributing to NVIDIA's core operations at scale.

$168k - $322k

Salesforce is seeking a technical leader for its AI Core team to build durable, high-quality systems that address complex AI challenges. This role involves developing retrieval systems and agent infrastructure, enabling AI agents to effectively find, trust, and utilize knowledge. You will also create developer tooling to help engineers across the company rapidly and safely deploy production agents. The position offers end-to-end ownership, from scoping and implementation to deployment and iterative improvement, within a high-ownership, high-velocity environment focused on AI and product development.

$173k - $260k

We are seeking a Staff Software Engineer to join our Engineering department. In this role, you will direct a fast-paced, collaborative, agile team of software engineers in the design, development, and scaling of highly available AI healthcare products on the Cohere platform. You'll set the technical direction for how the platform evolves — owning architecture and design decisions that span multiple teams and outlive any single release. This is an opportunity to drive technical excellence, define customer-configurability capabilities, and establish patterns other teams build on at the intersection of healthcare interoperability and modern distributed systems. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events.

$185k - $225k

Aleph Alpha is seeking a Senior AI Researcher to join our hallucination reduction capability team. This role focuses on pushing the boundaries of LLM post-training, specifically Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL), to reduce model hallucinations and improve grounding in evidence. You will be part of a team conducting cutting-edge research on foundational models, with access to hundreds of GPUs, contributing to the development of trustworthy GenAI for industrial applications.

Accenture

We are seeking AI-native engineers who leverage AI as a fundamental part of their workflow, not as an afterthought. In this role, you will design, build, and deploy production-grade software across the full stack, integrating AI-assisted tooling into your daily practice alongside core engineering skills. You will work on client programs in various industries, developing software that connects to and supports agentic AI systems. This involves understanding how your full-stack development integrates with agent architecture, LLM APIs, and enterprise AI pipelines. This is a core engineering function with a direct path to advanced roles for those who develop expertise in agentic systems.

Accenture

Accenture Song is seeking an AI Native Product Engineer to join their Design & Digital Products team. This role involves embedding directly with clients as a technologist and product thinker, leading the engineering of AI-native digital products from concept to production. You will be responsible for shaping not only what gets built but how it gets built, setting the technical standard for AI-native delivery. The ideal candidate will combine hands-on engineering depth with creativity and product intuition, architecting around large language models, retrieval systems, and multi-agent orchestration with a focus on production-ready solutions. This is a client-facing role where you will translate AI possibilities into product realities and ensure those realities work effectively.