Ai Runtime Engineer Jobs

We are seeking a Senior Security Engineer to join our growing security team. As we continue building AI-powered services that deliver tremendous value to our customers worldwide, and given the rapid pace of our business growth, we are looking for experienced and capable talent to strengthen cybersecurity across all stages of product development and to collaborate closely with our software engineering teams. You will also play a key role in driving information security initiatives and integration efforts across the group, including addressing the emerging risks introduced by rapid advancements in AI technologies. Responsibilities Design, implement, and maintain secure CI/CD pipelines with automated security controls (SAST, DAST, SCA, secrets scanning, and IaC scanning) integrated into development workflows Establish and drive the Secure Software Development Lifecycle (SSDLC), ensuring security is embedded at every stage — from design and threat modeling through deployment and runtime Define and standardize security requirements analysis and threat modeling practices to identify risks during the design phase Develop Policy as Code solutions to enable automated compliance and governance checks Conduct pre-production security assessments, vulnerability assessments, and penetration testing Implement security best practices for Infrastructure as Code (IaC) and cloud-native environments Build and maintain security monitoring, log aggregation, and alerting systems to support detection and response Create security deployment checklists and continuously improve production environment security posture Assess and mitigate emerging risks introduced by AI technologies, including risks related to LLM applications, AI agents, prompt injection, data leakage through AI tools, model supply chain, and AI-assisted development workflows Partner with engineering teams to evaluate, adopt, and govern AI-powered development tools (e.g., AI coding assistants, AI agents) in a secure and compli

About the Role We are a small team of AI builders in Paytm Labs. As a Staff AI Platform Engineer, you will work across inference and agentic systems. You will contribute to Paytm's AI inference platform (Pi), serving internal teams and enterprise customers - running our own coding and domain-specific models (voice, vision, risk, fintech workflows) as well as third-party models. You will also architect and build the platform that enables autonomous AI agents to operate safely and reliably in production - the runtime, orchestration, and developer tooling for agents to reason, plan, use tools, and execute complex multi-step workflows, automating both software development and business processes. You will work at the intersection of LLMs, distributed systems, and production fintech infrastructure, helping define how inference and agentic AI are built and deployed across payments, risk, fraud, collections, support, and developer experience.

The AI organization at Asana builds the platform and products that bring AI into how the world's teams work. That includes AI Teammates that take on work alongside people, the orchestration layer that lets agents plan and act across the Work Graph, and the AI platform that every AI feature at Asana runs on. The platform covers model access, retrieval, context, evaluation, and production quality. We are looking for a Senior Staff Software Engineer to set technical direction across this organization. You will lead the hardest cross-team problems in AI at Asana, make architectural calls that hold up as models and the industry shift underneath us, and help senior leadership shape where AI takes the product next. The scope spans multiple engineering teams across San Francisco, New York, Vancouver, and Warsaw. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Define the technical vision and architecture for Asana's AI Org that includes AI platform, Agent systems and Studio in partnership with engineering and product leadership Partner with Product, Design, Data Science, Security, and Legal to take ambitious AI products from prototype to reliable, trusted enterprise features Lead strategic initiatives that span multiple teams, such as agent runtime and orchestration, context and memory for agents grounded in the Work Graph, and reliable, cost-efficient LLM inference at enterprise scale Set the bar for how Asana measures AI quality, including offline and online evaluation, production monitoring, and the feedback loops that turn real usage into better agents Make and guide high-stakes technical d

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities Develop, build, and operate production-grade AI agents supporting task automation, decision support, summarization, and human-in-the-loop execution, including the orchestration governing planning, tool use, multi-step state, failure recovery, and escalation to a person. Build and maintain the Model Context Protocol (MCP) and enterprise tool layer that exposes Micron's manufacturing systems and enterprise data to agents as well-scoped tools, resources, and prompts, owning tool contracts, schema and version management, and the reviews that keep every exposed capability auditable. Ground agents in authoritative, versioned proven experience, working with the manufacturing and engineering experts who own the operational rules to translate them into structured knowledge that agents can reason over reliably as the domain evolves. Establish the evaluation, security, observability, and delivery practices required to operate non-deterministic systems in a 24x7 environment: golden datasets and regression testing; tracing, failure-mode review, and production monitoring; prompt-injection defense, permission and data-boundary enforcement, and runtime guardrails; and cost and latency budgets with progressive rollout. Deliver enterprise full-stack solutions end to end, spanning C# / ASP.NET and C++ services, RESTful APIs, SQL data models, and Angular front ends on containerized Kubernetes platforms with CI/CD. Hold AI components to the same delivery and operatio

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Backend Engineer on the Chat Engine team, you'll build the engine behind GitLab Duo Chat, the conversational AI experience for GitLab. You'll work primarily in Python to build and maintain our agentic runtime: the Flow Registry, LangGraph flows, and the Duo Workflow Service. You'll also work in the GitLab Rails monolith, where Chat connects with the product. You'll own scoped parts of the system, ship small features and improvements with minimal guidance, and collaborate with the team on larger projects. You'll work alongside senior and staff engineers who will partner with you on design and support

We're building the platform that lets long-running autonomous agents operate safely inside NVIDIA's enterprise. These are not assistants on a developer's laptop. They are fleets of agents deployed in the cloud, running continuously at scale on shared accelerated compute. They take on real work across enterprise systems, so people get far more done than they could before. This role defines the constructs that agents are built from: the blueprints they start from, the tools, skills, and plugins that power them against enterprise data, the runtime safety harness that keeps them in bounds, and the connections into credential management, sandbox, memory, and observability. The team designs and ships these building blocks so that agent developers across the company can stand up a new agent, wire it in, and run it for days or weeks. Security and safe execution come out of the box, not something each team has to get right on its own. Today an agent runs inside a single harness. Claude, Codex, and open-source agent harnesses each work differently underneath, with their own execution model, tool interface, and telemetry shape. The platform smooths over those differences, so a single skill, safety policy, or trace works the same no matter which harness is running. We want to enable agents that act on a person's behalf, governed and secure, continuously evaluated and self-improving. These agents coordinate and hand work off to each other, with identity and policy following every hop. They route and tune themselves across harnesses from live eval signals, and get better from their own production telemetry instead of waiting on a human to retrain them. Have you run agents on a harness like Claude or Codex and hit the walls that show up when they run for real, for days, against live systems — and wanted them to learn from it on their own? We're building the platform that solves those problems once, for every team. What you'll b

Fanatics Commerce is the global leader in licensed sports merchandise, operating a vertically integrated platform that designs, manufactures, and delivers officially licensed apparel, jerseys, headwear, and collectibles for major leagues, teams, and events worldwide. With more than 900 e-commerce sites and a global omnichannel presence across digital, in-venue, and retail, Fanatics Commerce reaches fans in over 180 countries and powers official fan experiences for many of the world's most iconic sports properties. At Fanatics, we bring our BOLD Leadership Principles to life every day - building championship teams, obsessing over fans, acting with entrepreneurial speed, and delivering with a determined and relentless mindset. About the team The AI/ML Platform pod builds Fanatics' internal AI platform: the paved road for every team building with LLMs, MCPs, and agents. Gateway, agent runtime, registry, retrieval, evaluation, and cost analytics, all running on a petabyte-scale lakehouse with enterprise-grade governance. You'll join a pod that owns this platform end to end. This is a Staff-level role, and a hands-on one. You will choose the architecture, define the standards other teams build to, and stay in the code, shipping the hardest parts yourself. The decisions you make are ones the organization lives with for years. Responsibilities • Own the end-to-end architecture of the AI control plane: gateway, agent runtime, registry, retrieval, evaluation, and cost. Set technical direction, sequence the roadmap, and make the build-versus-buy calls. • Build the enterprise LLM gateway: multi-provider routing, failover, caching, rate limiting, token optimization, and key management, with a path to self-hosted open-weight models where cost, latency, or data residency call for it. • Build the Agent/MCP ecosystem on a managed runtime such as AWS BedrockAgentCore: enterprise systems exposed as governed tools over MCP, a control-plane registry for discovery,

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Software Engineer on the AI Platform team within the Platform group, you'll build and operate the LLM and agent infrastructure that every team at Coinbase depends on. This team owns the company's single path to large language models and the full agent lifecycle: build, deploy, run, observe, and improve. You'll lead multi-quarter technical initiatives across the platform, from gateway and runtime systems to knowledge bases and applied AI agents, directly shaping how Coinbase scales AI across the organization. What you'll do: Own the architecture and delivery of core platform systems including the LLM Gateway (60+ models, auth, PII redaction, fallbacks, cost optimization), AI Hub, and agent runtime with microVM sandboxes and governed MCP gateway Drive the design and implementation of Knowledge Base infrastructure, connecting data sources to auto-provisioned vector and markdown stores queryable by any agent Lead AI FinOps capabilities including spend attribution, governance, and cost optimization across all AI workloads company-wide Partner across engineering, security, legal, finance, product, and external partners at frontier labs and major cloud providers to ship high-impact platform capabilities Build evaluation and observability tooling including LLM-as-judge harnesses, full tracing, and feedback loops that let subject matter experts refine production a

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma's AI Tools team builds the AI-powered workflows, platforms, and tooling that make every engineer at the company more productive. From agentic CI auto-fixing and AI-assisted code review to background cloud agents that turn a Slack message into a pull request, this team owns the systems that are transforming how Figma builds software. The team operates across a three-layer platform stack—sandbox runtime, cloud agents, and workflow orchestration—while shipping and maintaining a growing portfolio of org-wide developer workflows that compound across hundreds of engineers. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Lead and grow a team of engineers responsible for building and operating Figma's AI developer workflows and the cloud agent platform that powers them Own the technical strategy and roadmap for AI Developer Experience, spanning sandbox runtime infrastructure, cloud agent reliability, workflow orchestration, and org-wide agentic workflows Hire and scale the team - establishing team culture, execution cadence, and operational processes from the ground up Drive the reliability, observability, and scalability of our cloud agent platform, ensuring it meets production-grade standards as adoption grows across the engineering organization Partner with product engineering, security, infrastructure, and DevEx teams to identify the highest-leverage opportunities for AI-assisted developer workflows and drive adoption

Senior: PLN 260,400 - 352,200 Staff: PLN 350,700 - 474,400 Subject to alignment to the responsibilities and duties of the role - we currently have multiple positions available at both Senior and Staff level. Location: Gdańsk. This role is not available as fully remote. About the job Build the AI compute libraries that turn next-generation hardware into real performance. As a Staff Software Engineer, you will design and optimise high-performance compute kernels for AI workloads. You will work across linear algebra, tensor operations, numerical correctness and low-level performance. Your work will help customers get more from advanced AI hardware. That means shaping the libraries behind faster, more reliable AI systems at scale. You will write C++ and Python, profile on Linux and make hard trade-offs across memory, threading and numerical behaviour. You will also guide technical direction, review designs and help engineers make better decisions. This role suits someone who wants deep technical ownership without moving away from hands-on engineering. The team and culture You will join the ML Kernels & Runtime team, which builds the compute libraries that expose hardware performance to customers. The work is technical, detailed and close to the machine. Engineers own problems from design through validation, benchmarking and production quality. Decisions are made through evidence, clear technical reasoning and open debate. You will move quickly, speak up when something can be better and help others raise the quality of their work. Leadership here means taking responsibility for outcomes, not waiting for permission. What we’re looking for Excellent C++ and Python skills, with experience building performance-sensitive software Strong understanding of processor architectures, Linux profiling and low-level optimisation Proven technical leadership, including guiding engineering direction, reviewing designs and mentoring others Ability to balance hands-on implem

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is building next-generation RISC-V CPUs optimized for AI, high-performance computing, and emerging autonomous AI systems. As the RISC-V AI / HPC & Agentic Software Engineering Lead, you will operate at the hardware–software boundary, enabling AI, HPC, and agentic AI software stacks on Tenstorrent’s RISC-V processors. This role is responsible for integrating and optimizing Tenstorrent’s LLK (Low-Level Kernel) infrastructure for CPU execution, while leading the bring-up of a RISC-V-native agentic AI software stack — including runtime orchestration, distributed execution frameworks, memory systems, and developer tools required for goal-driven AI systems. You will work closely with CPU architects, microarchitecture teams, compiler engineers, and AI kernel developers to ensure tight alignment between software capabilities and RISC-V architectural features. This role is remote, based out of Taiwan. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A systems-oriented software engineer with deep experience in HPC and AI software stacks. Experienced with distributed AI systems, orchestration frameworks, or agentic AI architectu

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking an Physical Design Engineer to lead cross-functional efforts to solve complex physical design challenges and develop end-to-end RTL-to-GDS methodologies across advanced nodes, with a strong focus on PPA and runtime improvements. The engineer will architect, integrate, and deploy AI/ML-driven solutions into production physical design flows, creating custom CAD tools and partnering with internal teams and EDA vendors to drive next-generation, ML-enabled capabilities. This role is hybrid, based out of Santa Clara, CA or Austin, TX or Fort Collins, CO. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who you are BS in Electrical or Computer Engineering (or equivalent experience) with 5+ years in Physical Design CAD methodology at advanced nodes. Proven track record improving PPA and/or runtime on high-performance, low-power taped-out designs. Hands-on with industry-standard EDA tools (e.g., Fusion Compiler) across synthesis, P&R, STA, signoff, and hierarchical flows. Strong Python/Tcl and data skills, with interest or experience in ML frameworks (PyTorch, TensorFlow), and the ability to drive complex projects independent

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is building next-generation RISC-V CPUs optimized for AI, high-performance computing, and emerging autonomous AI systems. As the RISC-V AI / HPC & Agentic Software Engineering Lead, you will operate at the hardware–software boundary, enabling AI, HPC, and agentic AI software stacks on Tenstorrent’s RISC-V processors. This role is responsible for integrating and optimizing Tenstorrent’s LLK (Low-Level Kernel) infrastructure for CPU execution, while leading the bring-up of a RISC-V-native agentic AI software stack — including runtime orchestration, distributed execution frameworks, memory systems, and developer tools required for goal-driven AI systems. You will work closely with CPU architects, microarchitecture teams, compiler engineers, and AI kernel developers to ensure tight alignment between software capabilities and RISC-V architectural features. This role is remote, based out of North America. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A systems-oriented software engineer with deep experience in HPC and AI software stacks. Experienced with distributed AI systems, orchestration frameworks, or agentic AI arc

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role The AI team is building cutting-edge solutions that bring the power of AI directly to edge devices while seamlessly integrating with cloud infrastructure. We are looking for a Lead Software Engineer to design and develop high-performance, scalable services to support AI workloads across edge and cloud environments. What You Might Do Design, build, and maintain services that power AI-driven applications, ensuring scalability and performance. Develop APIs and microservices that facilitate seamless integration between cloud-based AI models and edge devices. Optimize data pipelines and storage solutions for real-time AI inference and processing. Implement security and privacy best practices for distributed AI systems. Work closely with AI researchers, infrastructure engineers, and frontend developers to deliver end-to-end AI-driven solutions. Build and optimize an agent orchestration runtime that enables tool use, memory management, and multi-step reasoning across LLMs, APIs, and edge-connected systems. Develop robust logging, monitoring, and alerting systems to ensure system reliability.

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role The AI team is building cutting-edge solutions that bring the power of AI directly to edge devices while seamlessly integrating with cloud infrastructure. We are looking for a Senior Software Engineer to design and develop high-performance, scalable services to support AI workloads across edge and cloud environments. What You Might Do Design, build, and maintain services that power AI-driven applications, ensuring scalability and performance. Develop APIs and microservices that facilitate seamless integration between cloud-based AI models and edge devices. Optimize data pipelines and storage solutions for real-time AI inference and processing. Implement security and privacy best practices for distributed AI systems. Work closely with AI researchers, infrastructure engineers, and frontend developers to deliver end-to-end AI-driven solutions. Build and optimize an agent orchestration runtime that enables tool use, memory management, and multi-step reasoning across LLMs, APIs, and edge-connected systems. Develop robust logging, monitoring, and alerting systems to ensure system reliabilit