AI Engineer Jobs

Figure is an AI robotics company developing autonomous general-purpose humanoid robots with the goal of shipping human-level intelligent robots for home and commercial markets. We are seeking an Android lead to take full ownership of Figure's consumer Android application, which will pair with proprietary hardware and handle high volumes of data. As the founding Android engineer, you will define the technical direction, launch the app, and build the team.

$200k - $400k

NVIDIA Research is seeking PhD-level students for a research internship focused on groundbreaking work at the intersection of AI, GPU computing, Formal Methods, and Electronic Design Automation (EDA). This role offers the chance to influence the future of chip design, which is being transformed by AI and GPU acceleration. Interns will gain broad exposure to EDA algorithms, agentic AI, LLMs, and GPU computing, with specific research interests including GPU-accelerated optimization, physical design, formal methods, agentic AI, and reinforcement learning techniques.

$0k - $0k

Figure is an AI robotics company developing autonomous general-purpose humanoid robots with the goal of shipping robots with human-level intelligence for home and commercial markets. We are seeking a backend engineer to build the services and infrastructure for Figure's consumer mobile application, encompassing areas like authentication, payments, and tooling. You will be responsible for end-to-end ownership of systems, from identity and billing to delivery pipelines, internal dashboards, and the cloud platform.

$200k - $400k

Abnormal Security

Abnormal's AI-native security products protect enterprises from cybercrime by securing critical communications, identities, and infrastructure. This role on the ADEX Team focuses on owning detection features end-to-end, from ideation and design to implementation, launch, and continuous improvement. You will collaborate with engineers, product managers, and data scientists to build reliable, scalable, and AI-native detection systems, specifically targeting impersonation attacks like brand, lookalike-domain, VIP, and employee impersonation. The ideal candidate is an engineer who has shipped production systems, desires greater ownership, and is eager to leverage AI for novel detection solutions.

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Taktile

Taktile is seeking a Senior Backend Engineer to focus on Developer Productivity and Developer Experience. This role is crucial for removing bottlenecks in the software development lifecycle, particularly in areas like builds, tests, reviews, merges, and deployments, which have become the primary challenge after AI coding agents have accelerated code writing. You will be a key member of the Platform Team, serving Taktile's backend and frontend engineers, as well as the AI agents they work with. Your primary product will be the entire process from the initial commit to production deployment, aiming to improve metrics like CI speed and reliability, and the ease of building on the serverless stack.

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We are establishing a new Technical Services capability in Mexico City to support a platform that empowers customers to build, deploy, and operate AI applications using MongoDB. As an early member of this growing team, you will play a key role in shaping our customer support strategies, collaborating with Engineering and Product teams, and establishing the team's technical practices from the ground up. The platform integrates AI application workflows, orchestration, model and tool integrations, cloud infrastructure, data services, and observability. The support team will address complex issues across these layers to ensure customers can successfully operate their applications. As a Technical Services Engineer, your primary focus will be assisting customers with building, deploying, and operating AI applications on the MongoDB platform. You will investigate and resolve issues spanning application behavior, agent workflows, APIs, cloud infrastructure, and data services. This role is ideal for an engineer who thrives on learning new technologies, enjoys direct customer interaction, and excels at applying structured troubleshooting to intricate systems. You will also contribute to the broader MongoDB Technical Services organization as customer needs evolve.

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NVIDIA is seeking a Senior Firmware Engineer to join our NIC Firmware team and help shape how firmware is built using AI. You will be part of a team rethinking firmware development from the ground up, applying AI and automation to create smarter, faster, and more scalable infrastructure for NVIDIA’s next-generation network adapters and SuperNICs. These devices power the world’s largest AI factories and data centers, and the infrastructure you build will speed up how we design, validate, and deliver them. We are looking for a creative problem solver who questions how things have always been done, sees opportunities others miss, and enjoys turning bold ideas into practical solutions. You will work at the intersection of low-level firmware, networking hardware, and AI, alongside talented engineers across firmware, software, architecture, and AI teams.

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MongoDB is seeking an experienced Software Engineer to join its Enterprise Architecture team, focusing on AI experimentation. This role involves partnering with various internal teams to explore, prototype, and validate emerging AI capabilities before they are integrated into formal roadmaps. The ideal candidate will have a strong technical background, excellent problem-solving skills, and the ability to thrive in ambiguous environments, iterating quickly on new ideas. This position is crucial for identifying and communicating risks, unknowns, and open questions to stakeholders, ensuring that validated AI capabilities are effectively handed off for potential production use.

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MongoDB is seeking founding members for a new engineering team in Gurugram focused on building integrations between MongoDB and popular AI frameworks like LangChain, LlamaIndex, and n8n. This team will own the connective layer, enabling developers to use MongoDB effectively within their chosen AI stacks. The role offers significant ownership, allowing engineers to manage projects from design to release, work with evolving technologies, and contribute to fast-moving open-source ecosystems. Success in this role requires adaptability, a proactive approach to problem-solving, and a commitment to shipping high-quality software. Collaboration is key, with opportunities to pair program, conduct code reviews, and learn from senior engineers and management.

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MongoDB is seeking a Forward Deployed Engineer to join its R&D organization, focusing on bridging application modernization efforts with Product and Engineering teams. This role will explore the possibilities of Generative AI technologies to accelerate application modernization programs, providing feedback to MongoDB's R&D to shape future capabilities. The engineer will work alongside project teams executing modernization initiatives, evaluating, building, and applying AI tools, and identifying opportunities for their deployment. This includes contributing to tooling prototypes and influencing the product roadmap. The position is based in Dublin with a hybrid working model.

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MongoDB is seeking Senior Software Engineers to join a new engineering team in Gurugram focused on building integrations between MongoDB and popular AI frameworks like LangChain, LlamaIndex, and n8n. This team will own the connective layer, enabling developers to use MongoDB effectively within their chosen AI stacks. The role involves working primarily in Python and TypeScript, contributing to fast-moving open-source ecosystems, and collaborating with internal teams and external maintainers. The team operates with a high degree of autonomy, owning integrations end-to-end from design and development to testing, release, and maintenance. This is an opportunity to be a founding member of a self-sufficient team, shaping its practices and contributing to high-visibility projects in a dynamic environment.

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MongoDB is seeking an experienced Senior Software Engineer to join the Enterprise Architecture team, focusing on AI experimentation. This role involves partnering with various internal teams to explore, prototype, and validate emerging AI capabilities before they are integrated into formal roadmaps. The ideal candidate will be comfortable operating in ambiguity, independently solving complex engineering problems, and iterating quickly on ideas, especially when requirements are unclear. This position is based in Gurugram and follows a hybrid working model.

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We are seeking a Senior Workato Integration Engineer to join our GTMTech team in Gurugram. This role is crucial for developing, deploying, and supporting essential business integrations that enhance company efficiency, boost profitability, and enable data-driven decision-making through automation and AI. The GTMTech team focuses on high-impact, large-scale technology programs like Quote-to-Cash, streamlining systems and minimizing manual work.

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MongoDB is forming a new engineering team focused on becoming the go-to data platform for developers building with AI frameworks like LangChain, LlamaIndex, and n8n. As the founding Engineering Manager, you will be responsible for hiring the team, defining the technical direction, and shipping integrations into fast-moving open-source ecosystems. This role requires a blend of hands-on technical exploration and team leadership, ensuring the long-term health of a growing integration portfolio. You will collaborate closely with product, partners, field teams, the developer community, and open-source maintainers to deliver impactful solutions and strengthen MongoDB's future in AI.

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Liquid AI, a rapidly scaling company spun out of MIT CSAIL, is seeking an Applied ML professional to join their team. This role offers a unique opportunity to apply advanced sequential recommendation architectures to real-world enterprise problems at scale. You will be responsible for the end-to-end applied ML work for recommendation system workloads, adapting large-scale models for customers requiring efficient personalization and ranking capabilities under production constraints. This position provides full ownership over model adaptation, evaluation, and deployment, differing from more siloed recommendation roles. You will also contribute to building reusable tooling and workflows to accelerate future projects, making this an ideal role for those passionate about data quality, user behavior modeling, and implementing effective enterprise recommendation systems.

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Athelas

At Commure, we are building the AI Operating System for healthcare, transforming how care is delivered, documented, and financed. Our platform integrates ambient AI, intelligent agents, and autonomous RCM processing to address the significant administrative burden in healthcare. We are at the forefront of this transformation, with a rapidly growing user base and recent significant funding, reflecting strong market confidence. Our team works directly with clinicians, ensuring immediate impact and a fast-paced, ownership-driven environment. We are seeking individuals energized by complex challenges and a commitment to excellence to help build the future of healthcare.

$170k - $190k

DreamLever is seeking its first in-house engineer to lead technical execution on a live, customer-facing AI product. This is a hands-on leadership role where you will write code daily, make engineering decisions, and translate product priorities into polished software. You will work closely with the founder to understand the vision, translate detailed direction and prototypes into code, and move quickly from feedback to shipped improvements. The role involves owning technical execution, coordinating development, deciding what to build autonomously versus delegating to an external engineering partner, and overseeing execution to meet product goals. You will also be responsible for improving the AI quality of the system's agent and maintaining a clear and reliable engineering foundation.

$170k - $200k

SpaceXSI is building Super Intelligence to help humanity understand the universe. We are seeking exceptional Applied engineers to join a high-priority project that approximately 600 million monthly users use. This is an exciting opportunity for individuals with an engineer or scientist background to apply their skills to recommendation systems, ranking algorithms, search technologies, and many other systems. You’ll work at the intersection of advanced AI development and real-world impact, enhancing the ability to connect users with relevant content, accounts, and experiences.

$180k - $440k

Datadog

Datadog is seeking ambitious leaders to drive the growth of its Database Monitoring product, which is expanding beyond traditional monitoring to include self-healing capabilities powered by AI. The role involves building and developing engineering teams, collaborating closely with Product, and launching new features that deliver significant value to developers. This position is ideal for AI-forward leaders with product engineering backgrounds who are passionate about owning business lines and scaling exceptional teams.

$244k - $305k

Figma is seeking an AI Engineer for its Internal AI team, which focuses on making AI adoption easier and more impactful for all Figmates across various departments like Sales, Support, Finance, People, and Legal. This role is a key part of the Applied AI Builds pillar, responsible for identifying high-value AI opportunities, prototyping solutions, and taking them to production. You will work directly with teams to understand business workflows, build AI agents and automations, integrate them with enterprise systems, and ensure their safe and reliable operation. This position involves owning solutions through production, determining the appropriate use of AI versus traditional software, and shaping how agents can safely interact with enterprise systems. You will also collaborate with platform teams to build reusable AI capabilities and help define Figma's approach to Applied AI engineering.

$153k - $296k

Databricks

Databricks is seeking an AI Forward Deployed Engineering (AI FDE) professional to join a specialized customer-facing AI team. This role involves delivering professional services to help customers build and productionize AI applications, working cross-functionally with engineering and product teams. The ideal candidate is passionate about customer engagement, collaboration, and staying current with GenAI and LLMOps trends. This position can be remote, but requires periodic on-site work in the Washington, D.C., Maryland, or Virginia metropolitan area.

$182k - $250k

Together AI

The Developer Experience (DevX) team at Together AI is responsible for how developers learn and build on the platform, managing the documentation site, API reference, quickstarts, and cookbooks. They treat documentation as a product, with content living in Git and publishing through Mintlify, synchronized with the API via CI/CD automation. The team also focuses on making content accessible to AI coding agents, developing a house style guide for AI-assisted authoring and structured content. As a Technical Writer Intern on DevX, you will write, test, and ship documentation used by thousands of developers. You will be paired with a mentor and own significant projects from scoping to launch, with real users and metrics. This is a hands-on, technical role where you will run the code you document, call APIs, and contribute to the documentation repository from your first week. Potential projects include building migration kits, making documentation agent-ready, generating CLI reference from source, and writing evaluation design tutorials.

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NVIDIA is seeking a Senior Software Engineer to design and develop AIOps and Observability platforms. These platforms are crucial for monitoring, diagnosing, and optimizing millions of internal assets and services across various environments including cloud, on-premise, data centers, supply chain, and edge. You will collaborate with a team of engineers, product managers, and partners to shape the observability strategy, roadmap, and best practices for NVIDIA. Additionally, you will mentor other engineers in observability, machine learning, and related tools and techniques.

$200k - $322k

Figma is seeking a versatile and experienced Machine Learning / AI Engineer to join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation. Whether you’re building intelligent search systems, crafting scalable data pipelines, or enhancing AI-powered creativity tools, your work will drive user productivity, shape new product experiences, and advance the state of AI at Figma. You’ll collaborate closely with engineers, researchers, designers, and product managers across multiple teams to deliver high-quality ML-driven features and infrastructure. This is a high-impact, cross-functional role where you’ll shape both foundational systems and user-facing capabilities. This is a full time role that can be held from one of our US hubs or remotely in the United States.

$153k - $376k