Google Cloud Jobs

Ema builds AI Employees for HR, IT, and Finance, taking on busy work so people can focus on more impactful tasks. Founded by former executives from top tech companies and backed by leading investors, Ema is at the forefront of Agentic AI in production, shipping real systems that run business processes at scale. This role focuses on ensuring the security of AI agents and the platform they operate on, especially as they interact with sensitive enterprise data and systems. You will build security controls for autonomous agents in multi-tenant environments, addressing zero-trust challenges and securing various attack surfaces including LLM orchestration, tool integrations, code execution, and browser automation.

As an AI & GenAI Data Scientist - Manager within PwC's Technology Consulting practice, you will transform raw data into actionable insights to drive business growth. You will leverage advanced technologies and techniques to design and develop robust data solutions for clients, while also motivating, developing, and inspiring your team. Your work will involve applying data, algorithms, and software engineering to build and deploy AI and ML-based solutions at scale, including designing AI systems, data wrangling, and software implementation. You will identify opportunities for innovation and enhance delivery through technology, encouraging others to do the same.

$99k - $232k

ElevenLabs

ElevenLabs is seeking a Safety Engineer with a backend focus to join their AI research and product company. This role involves designing, developing, and scaling automated moderation systems, abuse detection capabilities, and guardrails for AI agents. You will partner with the Investigations team to identify and respond to emerging threats, and own the production infrastructure for internal safety services, ensuring their reliability and scalability. The position requires bringing ML models into production, building end-to-end solutions including backend services and APIs, and collaborating with Product, Legal, and Safety Policy teams to translate requirements into engineering solutions. You will also contribute to shaping the technical direction of safety infrastructure as the company grows.

Parloa

Parloa is shaping the foundation of a new era in customer experience where customer support is no longer transactions, but meaningful exchanges. As Principal Software Engineer for Voice/VoIP, you will own the technical direction of our real-time voice infrastructure. This is a hands-on technical leadership role where you will set architectural direction, solve complex problems, and elevate the engineering organization's approach to voice systems. You will collaborate with infrastructure, AI/ML, and product teams to ensure our voice stack is fast, reliable, and globally scalable.

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.

Distyl AI

Distyl AI is an applied AI technology company that partners with ambitious institutions to rearchitect critical operations for the frontier of AI. We research and deploy technologies that power AI-native operations, spanning research into self-constructing systems, the development of reliable AI system execution, and products that transform mission-critical workflows. We are seeking an Infrastructure Engineer to own how Distyl engineers build, test, secure, and release software across multiple cloud environments (AWS, Azure, GCP) and diverse customer constraints. This hands-on role involves building shared delivery systems and coding-agent workflows to ensure reliable releases, actionable failure insights, and increased engineer productivity, ultimately shaping how all Distyl engineers ship code.

$200k - $250k

Podium

Podium is seeking an SRE Manager to lead a team responsible for building and maintaining highly reliable infrastructure. This role involves a blend of technical leadership and people management, focusing on preventing incidents through automation, enhancing observability, and leveraging AI to optimize operations. The ideal candidate will be comfortable coaching engineers, managing projects, and driving incident resolution while fostering a culture of continuous improvement and blameless postmortems. This position offers the opportunity to significantly impact the reliability of Podium's AI-powered platform for local businesses.

OpenRouter is seeking its first AI Inference SRE to ensure the operational health of its provider supply. This role will focus on making sure every endpoint is fast, correct, and available, and that problems are detected and routed around before customers are impacted. The SRE will be responsible for building and owning monitoring systems, improving detection and failover mechanisms, and managing incident response for provider-related issues. This position involves holding providers accountable through telemetry and SLO reporting, detecting quality regressions, automating manual operational tasks, and building tooling for capacity planning and launch readiness.

$245k - $295k

PALO IT is seeking a Tech Lead/Cloud Architect to join their team in CDMX or Bogota. This role involves overseeing backend and cloud architecture, leading engineering teams, and ensuring platform robustness within a global technology consultancy. The company emphasizes an AI-first approach and operates as an agentic organization, fostering a collaborative and innovative environment. The position requires a minimum of 7 years of experience in key technical areas and offers opportunities for continuous growth and global collaboration.

Cloudflare

At Cloudflare, we are looking for builders who are passionate about improving the Internet and have a curiosity for creating solutions with the latest AI tools. Our culture emphasizes iteration, leveraging AI to ship faster, and sharing knowledge to elevate the entire team. This role is for a technologist who enjoys collaborating with innovative companies, from founding engineers to CTOs, to help them build the next generation of Internet products and AI initiatives. You will be comfortable discussing technical architectures and strategic roadmaps, acting as a technical evangelist for the Cloudflare Developer Platform.

$214k - $336k

We are seeking a Software Engineer II to join our growing India team and help build our Reinforcement Learning Environments (RLE) platform. This platform consists of interactive systems where frontier AI models learn to complete real-world tasks across various domains like software engineering, finance, and legal research. The interaction data generated is crucial for training and evaluating leading AI models. In this role, you will collaborate closely with US-based Engineering, Research, Product, and Operations teams to develop the next generation of AI platforms. You will own significant technical projects, contribute to platform architecture, and build reliable systems that enable rapid development and evaluation of AI models.

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.

Join PwC's Advanced Technology Solutions team as an AI / Software Engineering Manager. In this role, you will lead the development and delivery of AI-powered software engineering solutions for global clients, combining deep technical expertise with strong leadership to build, mentor, and scale high-performing teams. PwC utilizes AI across software development, data engineering, cloud, automation, and analytics, collaborating with industry leaders like Microsoft and OpenAI. Candidates are expected to actively leverage AI tools to enhance productivity, improve problem-solving, and deliver scalable, high-impact solutions responsibly.

From €48k

Expedia Group B2B is seeking a Machine Learning Engineer III to join their Applied Machine Learning Team. This role focuses on designing, building, and maintaining the infrastructure for deploying ML solutions, managing data pipelines, and optimizing compute resources for ranking, recommendation, and pricing optimization systems. The engineer will ensure ML models are efficiently deployed, scaled, and monitored in production, contributing significant value to partners. The position requires a strong foundation in software engineering, data engineering, distributed systems, or applied machine learning, with a readiness to grow in other areas. The role involves architecting and implementing robust ML systems, streamlining the model development to production pipeline, and optimizing ML infrastructure for performance and scalability. While primarily an individual contributor role, there is an expectation to mentor junior team members and provide technical guidance.

€56k - €78k

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.

Physical Intelligence

Physical Intelligence is building a platform to bring general-purpose AI into the physical world, powering robots with foundation models and learning algorithms. As an API Product Engineer, you will develop the core product surface that enables external companies to utilize Pi's models similarly to how they use LLM APIs today. This involves allowing them to bring their own data, fine-tune models, evaluate performance, and run low-latency inference within their own environments. You will own this entire experience, transforming close-knit collaborations into a scalable platform designed to support a vast number of robots.

LangChain is building the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents. With significant funding and a rapidly growing platform that includes open-source tools and a commercial offering, team members have a meaningful impact on shaping the future of AI technology. The Deployed Engineering team works directly with companies building and running AI agents in production, partnering closely with customer engineers across the full lifecycle to achieve technical wins and ensure reliable operation at scale using the LangChain suite. This role sits at the intersection of engineering, product, and go-to-market, feeding real-world insights back into the platform.

$185k - $300k

As a Senior Lead Software Engineer at JPMorgan Chase, you will be a key member of an agile team focused on building, scaling, and maintaining robust machine learning platforms. Your role involves designing and delivering market-leading infrastructure and tools that empower data scientists and ML engineers to develop, deploy, and monitor models efficiently and securely. You will implement critical technology solutions across multiple technical areas to support business objectives and drive innovation in ML platform capabilities.

Capital One is at the forefront of leveraging AI to create responsible and reliable AI systems that are transforming banking. The Intelligent Foundations and Experiences (IFX) team is central to this vision, building and deploying proprietary AI solutions that deliver value to millions of customers. This role will partner with cross-functional teams to deliver AI-powered products, oversee the design and development of AI software components, and make critical build-vs-buy decisions across a broad stack of AI technologies. You will invent and introduce state-of-the-art foundation model optimization techniques, contribute to the technical vision and roadmap of foundational AI systems, and attract and retain top talent in the AI industry. The role also involves scaling AI engineering practices, establishing enterprise standards for Responsible AI, and partnering with research and risk teams to ensure ethical and regulatory compliance.

$245k - $279k

LangChain is seeking a Deployed Engineer to join their team in NYC. This role focuses on building and running AI agents in production, moving beyond prototypes to create reliable systems that real teams depend on. You will work directly with customer engineering teams, co-architecting and co-building AI agents, and owning the technical win in pre-sales by designing POCs and guiding evaluations. The position involves helping customers deploy and operate agent-based applications, advising on architecture and best practices, and running technical demos and trainings. This is a hands-on, highly technical role at the intersection of engineering, product, and go-to-market, with a fast feedback loop and visible impact on how AI agents are built in the real world.

$185k - $315k

Physical Intelligence

Physical Intelligence is building general-purpose AI for the physical world, developing foundation models and learning algorithms for robots and future physically-actuated devices. The Infrastructure team is central to this mission, building and operating the backbone for training state-of-the-art VLA models, large-scale simulation, and reliable deployment of intelligence across robot fleets. This role involves collaborating closely with researchers, robotics runtime, product, and platform engineers to ensure infrastructure scales from prototype to production-grade deployments.

PALO IT is seeking an AI Tech Lead in CDMX to spearhead the design and implementation of robust AI-driven applications. This role is within a global technology consultancy with a trademarked, AI-first approach, Gen-e2™, redefining how enterprises build digital products and transform organizations with AI. The company is a World Economic Forum New Champion and a B Corp-certified company, operating across 9 countries with over 400 experts. They are becoming an agentic organization, adopting an AI-native operating model.

DataRobot

DataRobot is seeking a Customer Success Engineer, a post-sales technical expert focused on driving adoption and measurable outcomes from deployed GenAI applications. This role acts as a technical bridge between customers and DataRobot's platform, ensuring clients maximize value. You will collaborate with account teams to accelerate time-to-value, support expansion, and reduce churn through continuous enablement and use case optimization.

Handshake is seeking a Machine Learning Engineer I for the Growth Relevance team to help shape the evolution of careers in the AI economy. This role will focus on developing, deploying, and enhancing machine learning systems for lifecycle optimization, personalized notifications, and monetization strategies. You will work with cutting-edge ML infrastructure, including embedding-based retrieval, Graph Neural Networks, and multi-stage rankers, contributing to critical marketplace metrics and responsible AI practices.

$150k - $189k