LLM Jobs

Elastic is seeking an innovative Agentic AI Engineer to join their IT team. This role will focus on building multi-agent ecosystems that go beyond simple chat to collaborate, delegate tasks, and execute complex business processes across the organization. You will work with large language models (LLMs), agent orchestration, and agent-to-agent (A2A) integration frameworks to power an intelligent workforce. The goal is to create workflows for multiple agents, enabling them to communicate, share information, access enterprise tools, and automate tasks, ultimately empowering internal teams with cutting-edge LLM capabilities and integrating seamlessly with enterprise systems.

$94k - $179k

Anthropic

Reinforcement learning (RL) is crucial for Claude's ability to reason, write code, and act autonomously over long horizons. This role is part of the team responsible for building and maintaining the RL training system, which is used to train production models and for researchers across Anthropic to run their experiments. The team collaborates closely with research teams company-wide on the science and engineering required to scale RL effectively. As a Research Engineer, you will be at the heart of RL at Anthropic, with a direct view of RL training at the frontier, as the system you own supports both production and research runs. You will work with collaborators across research teams to understand system performance, identify areas of fragility, and drive future improvements.

$500k - $850k

Taktile is seeking a Data Engineer (AI Enablement) to join their rapidly growing team, empowering financial institutions to become AI-native. As the first dedicated Data Engineer for AI Enablement, you will be responsible for building internal tools, agents, and integrations to enhance team efficiency. This role involves end-to-end project ownership, collaborating with leads across Engineering, GTM, and Ops to identify and scale high-impact workflows. You will embed across various departments to pinpoint areas where AI can reduce operational friction, drive adoption through workshops and support, and partner with Security and IT to ensure data protection.

Ema builds AI Employees for HR, IT, and Finance, automating busy work across the employee experience from recruiting and onboarding to IT support and payroll. Our team, comprised of engineers from top tech companies and graduates from prestigious universities, is backed by leading investors and operates at the forefront of Agentic AI in production. We are developing systems where AI agents learn and improve from their real-world tasks, creating a continuous loop of production data, training, evaluation, and enhanced agent performance. The core challenge lies in determining the most effective interventions to improve agent behavior in live workflows.

This internship focuses on enhancing the usefulness of AI agents in real-world applications by providing them with the right tools, context, and persistent memory across conversations and sessions. The core of the work involves the Model Context Protocol (MCP) and agent memory, exploring how agents discover and safely utilize tools, manage learned information, and remain helpful without constant supervision. The ultimate goal is to deliver practical value to daily agent users through clean, extensible implementations.

SambaNova is seeking a talented and driven ML performance engineer to optimize and scale state-of-the-art foundation models on SambaNova's reconfigurable dataflow platform. You will work hands-on with advanced models to push the limits of throughput, latency, and efficiency. This role bridges the gap between deep learning and systems performance, collaborating across compiler, runtime, and hardware layers to deliver world-record performance for large-scale AI inference.

$180k - $255k

SambaNova is seeking a Forward Deployed Engineer (FDE) to join our Customer Success Organization. In this role, you will embed directly with strategic enterprise customers to design, build, and deploy production Generative AI applications on SambaNova's SN40L platform and SambaStack product portfolio. You will architect and implement LLM-powered workflows, optimize AI inference performance on SambaNova hardware, and troubleshoot end-to-end production issues. This position requires translating customer needs into product requirements and serving as the voice of field reality to our Product and Engineering teams. You will also partner with sales teams to shape technical strategy and demonstrate platform differentiation.

$138k - $170k

SambaNova is seeking a Senior Developer Advocate, AI Content & Community to enhance the visibility and utility of its AI infrastructure technology. This role involves hands-on development of compelling demos and applications using SambaCloud, alongside building relationships within the developer ecosystem to amplify SambaNova's offerings. The ideal candidate will be adept at prototyping, clearly explaining complex technology, and effectively communicating through various media, including live presentations and digital content.

$196k - $240k

SambaNova is seeking a Software Architect to join the SambaStack platform team. This role involves defining the technical direction and architectural strategy for an AI inference platform that serves enterprise AI workloads on SambaNova's RDU hardware. You will own cross-cutting architectural decisions, ensuring the platform meets enterprise-grade standards for scalability, reliability, and performance. This is a high-impact position at the intersection of AI infrastructure, enterprise software, systems architecture, and developer experience.

$245k - $325k

As a Senior Principal Machine Learning Engineer, you will be responsible for designing, developing, and optimizing machine learning models, with a focus on cutting-edge Large Language Models (LLMs), to run efficiently on SambaNova's specialized hardware architecture, including the RDU. This critical role bridges advanced LLM research and practical deployment, involving the development of model architectures, improving training and inference efficiency, and collaborating on hardware-software co-design with compiler, systems, and hardware teams. The engineer will also act as the ML expert, guiding the integration of LLM solutions into production systems and customer-facing products like SambaStack and SambaCloud, with work spanning the full lifecycle from training and inference to evaluation and data curation.

$220k - $300k

SambaNova is seeking a Senior Principal AI Solutions Engineer, a hands-on technical leader responsible for setting the technical direction of their solutions portfolio and actively building agentic applications. This role involves transforming customer problems into polished, production-ready applications rapidly. You will work across the entire modern AI stack, including open-weight models, agent frameworks, self-improving evaluation loops, multimodal and voice pipelines, and user-friendly front-end interfaces. You will lead engagements with strategic customers, mentor the solutions team, and provide valuable feedback to the platform. This position requires expertise in designing and building reliable single- and multi-agent systems with advanced features like planning, tool/function calling, and long-running workflows. You will also develop feedback loops for continuous improvement of agents, including automated evaluations and fine-tuning. A key aspect is setting up robust evaluation, tracing, and guardrails to ensure quality, cost-effectiveness, and latency for deployed solutions.

$234k - $286k

Monte Carlo is seeking a Senior Fullstack Engineer to join their team and build the core of their agent trust platform. This role involves developing backend services, distributed systems, and agentic workflows that enable enterprises to monitor and trust AI in production. You will take ownership of problems from initial concept through prototyping, architecture, development, testing, and deployment, ensuring reliability, observability, and scalability as the platform grows. The position is primarily backend-focused but includes shipping React surfaces when necessary, and involves building and maintaining data pipelines for analytics, ML, and customer-facing features. You will collaborate with product, ML, and infrastructure teams to deliver customer value.

$180k - $230k

HUD is seeking a Product Engineer to transform significant product challenges into tangible user experiences across its AI data platform and marketplace. This role involves collaborating with product, design, engineering, research, and go-to-market teams to identify user pain points in AI data creation and training, define product improvements, and develop solutions. The position blends product strategy, interaction design, and full-stack development, requiring the ability to translate complex technical workflows into clear and user-friendly interfaces while retaining necessary detail.

$100k - $225k

Salesforce is seeking experienced Technical Builders to serve as Forward Deployed Engineers (FDEs). In this role, you will design, build, and deploy agentic AI solutions directly within enterprise customer environments. You will collaborate closely with a Deployment Strategist to co-build solutions that go live in production from day one, working on real code in real environments to achieve measurable business impact. This position involves configuration, customization, and full-stack deployment of critical solutions, leveraging cutting-edge AI tools and platforms. You will be at the forefront of AI innovation, working on capabilities that shape the future of agentic AI and feeding your insights directly back to product teams.

$89k - $288k

Salesforce is seeking experienced Technical Builders to serve as Forward Deployed Engineers (FDEs). In this role, you will design, build, and deploy agentic AI solutions directly within enterprise customer environments. You will collaborate with a Delivery Team, partnering closely with a Deployment Strategist to co-build solutions that go live in production from day one. Engagements will vary from large strategic customers to multiple accounts, all involving real code, real environments, and measurable business impact. This position focuses on configuration, customization, and full-stack deployment, delivering solutions that customers rely on. This specific posting is for roles supporting Global Public Sector teams, including Government, Nonprofit, and Education.

$89k - $288k

Unusual Ventures is seeking an AI Engineer to join their team. This role involves building AI-powered agents and pipelines to enhance talent intelligence, sourcing, and research for their portfolio companies. You will also develop tools for diligence support, firm knowledge management, operations automation, and portfolio support, directly impacting the firm's usefulness to the founders they back. The position emphasizes building practical solutions that address real user problems and iterating quickly.

Tennr is seeking a high-agency Senior Backend Engineer to connect advanced ML research with practical product delivery. You will architect and develop agentic workflows designed to tackle complex healthcare processes, addressing infrastructure, workflow, and user experience challenges within the U.S. healthcare system. This role involves constructing data pipelines, evaluation frameworks, and scalable, production-ready agentic systems. You will be tasked with identifying and implementing the most suitable tools and models for each specific workflow, ensuring optimal technology utilization.

$190k - $215k

Handshake is seeking a Member of Technical Staff, Evals to help define how frontier AI systems are measured, understood, and improved. This is a high-ownership role for researchers who build, partnering with AI researchers, domain experts, and customers to develop new benchmarks, reward and verifier systems, agent-evaluation methodologies, and data-quality techniques. Early members of the team will have significant influence over technical direction, operating culture, and the open-source software, benchmarks, and research products built. The company prioritizes demonstrated research capability, technical judgment, and a builder's mindset over specific titles, degrees, or career paths.

$200k - $350k

As a Senior Applied AI/ML Scientist on the Search team, you will shape the technical vision, machine-learning algorithm strategy, and system design behind Faire's Search functionality. You will advance real-time search and recommendation systems that power next-generation shopping experiences by working at the frontier of algorithms, combining query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized products and brands for every user query. This is a chance to influence the end-to-end personalized discovery experience at Faire within a high-scale, deeply multi-modal environment, collaborating closely with a talented team of scientists and engineers.

$211k - $291k

Anthropic

Anthropic is dedicated to building AI systems that are safe, reliable, and steerable, aiming to benefit both users and society. This role is central to advancing Reinforcement Learning (RL), the core technology enabling Claude's reasoning, coding, and autonomous capabilities. The RL Scaling team focuses on how RL performance, stability, and learning efficiency evolve with increasing model size, episode length, and compute power. You will be instrumental in developing and scaling next-generation RL algorithms and architectures, from initial research to large-scale deployment, while deeply understanding and addressing the challenges that arise at scale. This position bridges research and engineering, requiring you to build the systems that accelerate iteration and experimentation, and to tackle complex, unsolved problems in Anthropic's largest RL runs.

$500k - $850k