LLM Jobs

You.com is seeking a Developer Evangelist to build in public and make their Search, Contents, and Research APIs the go-to retrieval layer for AI agents, coding tools, and agent frameworks. In this role, you will create demos, sample applications, integrations, and open-source contributions, sharing your work through various developer channels like GitHub, Discord, Reddit, and livestreams. You will also be the technical and creative lead for hackathons and developer events, driving developer adoption and community engagement. This position is part of the Developer-Led Growth (DLG) team, with success measured by tangible developer adoption and retention.

$180k - $220k

Podium is seeking a Senior Director of Engineering to lead the AI Agents product, transforming it from a rapidly growing platform into the industry's leading agent infrastructure for local businesses. This is a hands-on leadership role that involves both building new capabilities from scratch and scaling existing systems. You will be responsible for architecting and deploying the systems that enable our agents to reason, act, and improve over time, while also building the team and organizational capacity to manage these systems reliably at a massive scale across diverse customer workflows and business verticals.

We are seeking a Junior Developer to join the Xsolla Partner Network (XPN) team, focusing on an automated content generation system. This role involves contributing to all stages of development, from stabilizing the existing vertical video pipeline for social media platforms like YouTube Shorts, TikTok, and Instagram Reels, to developing agentic architecture and building analytics. You will work with cutting-edge generative models and agentic tools on a real production product, gaining insights into the games industry and the creator economy. The position offers the opportunity to make independent technical decisions, build expertise in generative AI, and grow into a technical owner role.

You.com is building the AI Search Infrastructure that powers modern AI systems, aiming to create a trusted knowledge layer for agents, applications, and enterprises. Our platform combines proprietary vertical indexes with LLM-optimized retrieval systems. We are seeking a Senior Backend Engineer to own and scale the inference gateway, which is the critical layer that handles all model calls. This role involves routing, fallback, caching, metering, and enforcement within strict latency budgets, sitting between model serving and product development.

$200k - $250k

Dodo is seeking a Senior ML Engineer to enhance the intelligence, speed, and reliability of healthcare's front desk agents. This role involves owning the models, evaluation, and training loops that process millions of real conversations daily, continuously improving the system based on real-world interactions. You will be instrumental in making Dodo's agents smarter and more effective in handling patient communications.

Dodo is building the AI operating system for healthcare, impacting millions of patients and thousands of practices. This role involves working across voice, agents, integrations, data, and product to develop systems that power AI agents and are used daily by healthcare teams. You will have significant autonomy to own large parts of the product and infrastructure, from real-time systems to user-facing features.

NVIDIA is seeking a Senior Engineer to lead the performance modeling, evaluation, and post-training of large language models focused on code generation and agentic coding tasks. This role involves optimizing model capabilities, efficiency, and reliability by working at the intersection of model training, inference, and empirical analysis. You will design experiments to understand model behavior, identify performance bottlenecks, and develop post-training strategies to achieve measurable improvements in coding benchmarks and real-world software engineering tasks. Collaboration with research scientists, infrastructure engineers, and product teams will be key to translating model insights into production-ready features.

$224k - $431k

Databricks

The Foundation Model Inference team is the backbone of Databricks’ generative AI capabilities. We build the infrastructure that enables our customers to serve, scale, and optimize frontier models with enterprise-grade reliability and performance. Our Foundation Model APIs provide a unified platform that gives customers access to LLMs with the governance, flexibility, and scalability required for enterprise production workloads. We are looking for high-agency engineers who are excited to work on powering model inference at enterprise scale.

$190k - $265k

Join the new Agentic Engineering team, focused on automating code generation, testing, and tuning across NVIDIA's frameworks, compilers, and developer tooling. This is a greenfield opportunity offering foundational technical influence within a high-autonomy team. You will partner directly with early-adopter teams to translate complex requirements into durable, scalable infrastructure, applying modern AI to the craft of engineering itself. The role involves identifying friction points where agentic workflows can have the highest impact and iterating with teams as they integrate agents into production.

$224k - $357k

NVIDIA Research is seeking PhD interns for the AI-Aided Engineering (AIE) team. This role involves developing novel AI methods for physical simulation and engineering design, with a focus on neural operators, geometric representations, and large-scale learning. Interns will work with experienced mentors on impactful research, with opportunities to publish in leading conferences and journals. Projects will be tailored to interns' expertise, aiming to advance the field and transfer research into practical applications.

$0k - $0k

NVIDIA is seeking interns for the Learning and Perception research team to work on embodied and agentic AI, including areas like perception, agentic reasoning, multi-modal and continual learning. This role offers the opportunity to contribute to research that pushes boundaries and has real-world impact, with a collaborative team environment and experienced mentors. Internship projects are tailored to match interns' expertise, and past interns have a strong track record of publishing at top venues and often return for subsequent internships.

$0k - $0k

NVIDIA is seeking a research intern to contribute to building humanoid robot foundation models and systems within the Generalist Embodied Agent Research (GEAR) group. The mission is to create general-purpose embodied agents capable of learning and mastering complex skills in both virtual and physical environments. You will collaborate with a research team known for influential work in multimodal foundation models, large-scale robot learning, game AI, and physical simulation, contributing to significant research projects and product roadmaps, including recent milestones like Project GR00T.

$0k - $0k

NVIDIA is seeking outstanding Research Interns to join the Data-Driven AI for Robotics (DAIR) group, focusing on learning embodied skills from large-scale human data. The objective is to develop AI systems that can capture, understand, and reproduce complex human motion and interaction skills across physical and digital embodiments, including humanoid robots and animated characters. This research spans the full stack, from reconstructing human motion and interactions from video to generating controllable character behaviors, transferring motion across embodiments, and training grounded controllers for robots and virtual characters. Interns will collaborate with a supportive research team producing influential work and have opportunities to connect with product teams across NVIDIA.

$0k - $0k

NVIDIA is seeking a PhD intern to join the Deep Learning Efficiency Research (DLER) team, focusing on research that pushes boundaries and has real-world impact. The team's core areas include efficient diffusion language and multimodal generative models, as well as efficient agentic AI with hybrid inference orchestration. We are also interested in post-training model optimization, efficient architecture design, adaptive inference, and resource-efficient training and finetuning. You will collaborate with a research team that consistently publishes at top venues, contributing to technologies that can impact NVIDIA's products.

$0k - $0k

We are seeking PhD research interns to advance the next generation of large language models using reinforcement learning. Our applied deep learning research team pioneers projects like Megatron, MT-NLG, and DLSS, building state-of-the-art foundation models and developing new methods to enhance their reasoning, alignment, reliability, and ability to solve real-world tasks. This internship will focus on algorithmic research at the intersection of reinforcement learning and large language models, involving the design, implementation, and evaluation of new RL-based methods for improving LLM behavior through hands-on experimentation and rapid prototyping at scale.

$0k - $0k

NVIDIA Research's Human Performance and Experience (HPX) team is seeking passionate individuals for a PhD Research Intern position focused on cross-disciplinary vision science between humans and machines. This role involves collaborating with research scientists, engineers, and product engineers to address real-world problems at the intersection of computer vision, human vision science, and robotic vision. The internship offers an opportunity to contribute to AI innovation and shape the future of human-AI interaction.

$0k - $0k

Simple AI is seeking an AI Agent Engineer to join their growing team and help build state-of-the-art voice AI agents for enterprise clients. This role involves working directly with customers to transform Simple's voice AI platform into production-ready agents tailored to each business's unique needs. You will engage in both pre-sales and post-sales activities, including creating custom demos, understanding customer workflows, deploying agents, debugging complex issues, enhancing performance, and translating customer feedback into product enhancements. This is a highly technical and customer-facing position for individuals who enjoy coding, interacting with clients, working at a fast pace, and seeing the direct business impact of their work.

$120k - $200k

Mem0 is building the memory layer for AI agents, enabling them to remember conversations, learn from interactions, and build context over time. We are a Y Combinator-backed company with significant funding, powering millions of AI interactions for enterprise customers and an open-source community. This full-time, onsite role in San Francisco, CA, offers a unique opportunity to own the AI product surface of the Mem0 Platform. You will be responsible for the end-to-end frontend development, setting the visual and interaction standards for our dashboard, playground, and documentation. Working directly with the CTO, research, and customers, you will translate complex memory problems into intuitive user interfaces, shipping AI products to real users.

$150k - $250k

Jeeves is seeking a Senior AI Engineer to own AI workflows end-to-end, from design and implementation to measurement and continuous improvement. This hands-on role requires an AI-native approach, utilizing coding agents and AI tools daily to drive efficiency. You will collaborate closely with Product and Backend Engineering teams, taking initiative to define and build solutions rather than waiting for detailed specifications. The position is ideal for individuals who thrive on solving complex problems and are looking for a steep learning curve in a fast-growing fintech company.

As a Deployed Engineer, you will work on challenging applied AI problems, focusing on production systems that support real-world missions for defense, civilian, and intelligence customers. You will help design, deploy, and operate AI agents within secure, regulated, and high-stakes environments. This role offers a fast feedback loop, tangible mission impact, and the opportunity to directly influence the deployment of AI agents across the federal landscape. You will operate in environments demanding security, reliability, compliance (FedRAMP, IL levels, etc.), and operational rigor, working closely with government engineers and system integrators throughout the entire lifecycle.

$185k - $300k