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The PCS Design Engineer is responsible for the design, development, integration, testing, and optimization of Power Conversion Systems (PCS) used in Battery Energy Storage Systems (BESS), renewable energy applications, and grid-connected power systems. The role involves electrical system design, inverter and converter topology selection, system engineering, compliance management, and coordination with cross-functional teams to ensure reliable and efficient power conversion solutions. Source: Adani Group | Job ID: 56530

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why this role: The Data Abstractions & Tools team is the group inside North responsible for how users bring their data into the platform and put it to work. We own the systems that let users upload, organize, and share their files and knowledge bases, the framework for extending agents with skills and third-party integrations, and the data-sync pipeline that connects enterprise data sources to North's agents. North connects to a growing set of external tools and data sources so its agents can act on a user's real workflow. This role owns the integration pipeline end-to-end: adding new integrations to the platform, helping other engineers do the same, and becoming the owner of the process that makes that repeatable. You will also creat

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why this role: The Data Abstractions & Tools team is the group inside North responsible for how users bring their data into the platform and put it to work. We own the systems that let users upload, organize, and share their files and knowledge bases, the framework for extending agents with skills and third-party integrations, and the data-sync pipeline that connects enterprise data sources to North's agents. We are a small team owning a wide surface area, and we need a senior generalist who can move freely across backend and frontend as the roadmap demands. You will pick up any layer of a feature, from API design and database schema to the frontend that sits on top of it, and own it end-to-end. In this role, you will: Design, build,

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. About the Role The AI revolution is here, and enterprises are racing to adopt GenAI—but they cannot deploy what they cannot secure. Zscaler is seeking an experienced Principal AI Security Specialist to bridge the gap between cutting-edge AI innovation and robust enterprise security. In this highly strategic, field-facing role, you will combine the elite consultative strengths of a Solutions Engineer with deep expertise in LLMs, RAG architectures, and data protection. As our premier technical authority, you will partner with Fortune 500 executives and architects, serving as a trusted advisor to help them confidently unlock the power of AI without compromising their data or infrastructure. If you are a builder, an educator, and a master storyteller who thrives in a fast-evolving market, this is your chance to lead the industry's most critical conversation. What You’ll Do Architect the AI Technical Strategy: Partner w

Responsible for supporting overall IT operations, project management, stakeholder management, service integration, IT infrastructure management, IT service management, IT applications management, developing IT strategic plans, IT project management, digital projects implementation, network management, IT procurement, IT budgeting, etc Source: Adani Group | Job ID: 56464

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Product Okta's Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier-0 global service to deliver convenience, privacy, and security so customers can focus on innovation. The Team The Enterprise Management team provides enterprise-ready, centralized governance of the Auth0 resources our customers build on tenants, teams, and dashboard users under a single pane of glass. As customer environments grow in scale and complexity, we ensure secure, autonomous, and frictionless access through tenant-level transparency and access controls that meet or exceed their security policies. We own the full lifecycle of tenants and teams, the management dashboards, and the public APIs that enable enterprise customers to programmatically gove

POSITION SUMMARY Full Stack Developer skilled in PHP, Angular, and MariaDB/MySQL to build scalable, secure, and high‑performance web applications. Key Responsibilities Develop and maintain backend services using modern PHP and MariaDB/MySQL. Build RESTful APIs and integrate them with Angular applications. Develop responsive UI components using Angular, TypeScript, HTML5, and CSS/SCSS. Modernize legacy AngularJS components to Angular. Implement authentication/authorization (OAuth, SAML, JWT, MFA) and follow OWASP security practices. Work with Docker, Git/GitHub, and CI/CD pipelines. Monitor and optimize frontend and backend performance (Sentry, CloudWatch). Participate in Agile/Scrum processes and conduct code reviews. EXPERIENCE REQUIRED 4+ years backend experience with PHP. 2+ years frontend experience with Angular (Angular 2+). Strong database design and SQL optimization experience. Experience with REST APIs, RxJS, Docker, and CI/CD. Familiarity with AWS is a plus. QUALIFICATIONS, SKILLS, & KNOWLEDGE Bachelor’s degree in CS/IT or equivalent experience. Strong knowledge of OOP, design patterns, SOLID principles. Proficiency in PHP, MariaDB/MySQL, Angular, TypeScript, HTML5, CSS3/SCSS. Understanding of web security, accessibility, and performance optimization. Experience with testing tools, API documentation, and Agile development. PROFESSIONAL DEVELOPMENT EXPECTATIONS Ability to embrace Clearwater's CLEAR core values (Commitment to Client Success, Lead with Accountability, Integrity & Collaboration, Excellence in All That We Do, Advance Colleague Success, Respect & Transparency) and culture. The base salary range for this role is $25,000-$35,000. Base salary is part of our total rewards package which also includes the opportunity for merit-based salary increases, eligibility for our 401(k) plan, medical, dental, vision, life and disability insurances and leaves provided in line with your work state. Our robust time-off policy

About Pinecone Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: The Experience team is at the center of one of the most exciting transitions in software development history — the shift from human-driven to agent-driven product experiences. We own Pinecone's API, clients, authentication, revenue, and observability systems, and right now that means redesigning all of it for a world where AI agents are first-class users alongside humans. This is a wide-scope role. You'll own things end-to-end — from backend architecture to API design to SDK and web surfaces. You’ll be working closely with product, design, and other engineering teams to identify user needs and build the right thing, at the right abstraction level, at the right time. Along the way, you will be building high-leverage platform capabilities that accelerate Pinecone’s product development and user growth systems. We're looking for an engineer who sees this moment for what it is: a rare opportunity to shape how developers and agents interact with a category-defining product. You're not waiting to see how the industry figures out MCP, agentic workflows, and AI-native interfaces — you're already experimenting, already forming opinions, already building. You know that speed and leverage matter more than labor, and you've internalized AI-assisted development not as a productivity trick but as a fundamentally different way of working. Responsibilities: Pioneer our agent experience. Shape how AI agents interact with Pinecone — designing interfaces, protocols (MCP), and tooling that make Pinecone the easiest and most capable platform f

This role will be end-to-end responsible for driving pre-development clearances, government coordination, and statutory applications for nuclear projects. The role ensures seamless alignment between corporate teams, land team, government authorities, and on-ground realities This position acts as the single-point lead and coordinator for all BU-driven pre-development activities at site, ensuring fast, compliant, and outcome-oriented execution. Source: Adani Group | Job ID: 56067

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions We're looking for a Senior AI Product Manager to build and own Scale's Cybersecurity portfolio — the data, environments, and evaluations frontier labs use to train and measure security capability in their models. This is a build role: you will define the strategy and standards for a product line that does not exist yet. Security is where the hardest problems in agentic AI now sit. An agent that can find a vulnerability, prove it reproduces, and patch it without breaking the system is doing work that takes a skilled human days. Measuring that honestly requires reproducible execution environments at scale and practitioners who have actually done the work. Scale has the first, proven across SWE-Bench Pro, SWE Atlas, and our contributions to the Terminal-Bench lineage. You will build the second. You Will Own the roadmap and strategy for Scale's Cybersecurity portfolio across training data, RL environments, agentic task suites, and evaluation products — and stand the product line up end to end, from task taxonomy and sourcing through pricing and first external release. Define the capability map we train and measure against: vulnerability discovery, proof-of-concept reproduction, patch generation and regression safety, secure code review, supply-chain analysis, malware and binary analysis, detection engineering, and incident triage. Make the strategic call on where Scale competes across the offense–defense spectrum — which capabilities we build training data for, which we only measure, and which we decline. Partner with ML researchers and security practitioners on task specifications, grader design, and verifiable rewards, holding to execution-grounded verification wherever possible: a task c

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions. Scale's evaluation and data products shape how the industry trains and measures frontier models. Our benchmarks and leaderboards influence model development and purchasing decisions across the AI ecosystem, and our data and environments help leading labs build what comes next. These roles are deeply cross-functional. You will work across AI Product Management, ML Research, Engineering, Operations, and Go-To-Market teams, and directly with frontier AI labs and enterprise customers, representing Scale as a thought leader in how models are trained and measured. Whichever portfolio you own, you will own it end-to-end: strategy, roadmap, infrastructure, governance, customer adoption, and business impact. PMs here operate with significant autonomy, ship frequently, and are expected to be deeply analytical and hands-on. The ideal candidate combines strong product judgment, technical fluency, operational rigor, and customer-facing experience, with a passion for turning emerging model capabilities into scalable products. Open Roles Senior AI PM, Coding: Own Scale's Coding portfolio, built on SWE-Bench Pro (which cut frontier scores from 70%+ to roughly 23%), SWE Atlas, and our FrontierBench contributions. You'll decide what comes next as agents saturate current tasks, and turn that benchmark credibility into revenue from SFT and preference data, RL environments, and agentic coding evals. You'll also own the coding infrastructure roadmap and our expert network of professional software engineers. This role requires hands-on software engineering depth. Senior AI PM, Leaderboards: Own and scale the SEAL Leaderboard portfolio across all of Scale's domains, turning cutting-edge evals into truste

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the progress of generative AI, with a focus around frontier evaluations, the science of data around posttraining, agentic applications, trustworthy agents oversight framework and beyond. Our Research teams work with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. Additionally, Scale plays an integral role in understanding the capabilities and safeguarding of LLMs. Scale Labs is Scale's frontier research effort dedicated to tackling the challenging research problems in evaluation, agents, post-training, reasoning, safety and alignment of advanced AI systems. The SPRL team is a new effort focused on safety and policy research to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. We’re looking for a VP of Research to lead this charge. This is a critical leadership role where you will blend cutting-edge research with real-world applied ML impact and build a world-class research organization that expands that capabilities of frontier AI systems and develops safeguards to deploy them responsibly. You will shape the technical direction of Scale’s ML research, translate science into production-ready solutions, and partner with go-to-market, delivery, engineering, and customers to ensure our work defines the next era of AI. You’ll lead with vision and clarity, execute with urgency, and grow with intention. What you'll do: Lead the ML Research function, responsible for delivery, quality, performance, and roadmap execution Build and scale a global high-performing team, with an emphasis on initiative ownership and ML excellence Partner directly with Fortune 100 customers and the GTM team to translate business needs into scalable technical solutions Collaborate with engineering, product, and delivery teams across Scale to drive cutting edge

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media and telecommunications to build production AI agents that automate complex workflows, help humans, reason over enterprise knowledge, and operate safely at scale. The Opportunity Applied AI is moving faster than ever. New foundation models, reasoning techniques, agent architectures, and research papers emerge every week. Yet building AI systems that reliably solve real-world problems remains one of the hardest engineering challenges. As a Staff Frontier Agent Engineer (Applied AI) , you'll bridge the gap between cutting-edge AI research and production deployment. You'll work directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles that focus on a single model or product, you'll work across a diverse portfolio of AI challenges spanning multiple industries and use cases. You may build a multi-agent research system and then participate in designing a customer intelligence platform, a healthcare copilot, or an autonomous workflow for a Fortune 100 company. If you enjoy reading new AI papers, experimenting with the latest models, and shipping production systems that create measurable business impact, you'll fit right in. What You'll Build Frontier AI Systems Design and deploy production AI agents that leverage the latest advances in large language models, reasoning, retrieval, memory, and tool use. Architect intelligent systems that combine LLMs, traditional machine learning, structured knowledge, ent

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media and telecommunications to build production AI agents that automate complex workflows, help humans, reason over enterprise knowledge, and operate safely at scale. The Opportunity Applied AI is moving faster than ever. New foundation models, reasoning techniques, agent architectures, and research papers emerge every week. Yet building AI systems that reliably solve real-world problems remains one of the hardest engineering challenges. As a Senior Frontier Agent Engineer (Applied AI) , you'll bridge the gap between cutting-edge AI research and production deployment. You'll work directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles that focus on a single model or product, you'll work across a diverse portfolio of AI challenges spanning multiple industries and use cases. You may build a multi-agent research system and then participate in designing a customer intelligence platform, a healthcare copilot, or an autonomous workflow for a Fortune 100 company. If you enjoy reading new AI papers, experimenting with the latest models, and shipping production systems that create measurable business impact, you'll fit right in. What You'll Build Frontier AI Systems Design and deploy production AI agents that leverage the latest advances in large language models, reasoning, retrieval, memory, and tool use. Architect intelligent systems that combine LLMs, traditional machine learning, structured knowledge, enterpri

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media and telecommunications to build production AI agents that automate complex workflows, help humans, reason over enterprise knowledge, and operate safely at scale. The Opportunity Applied AI is moving faster than ever. New foundation models, reasoning techniques, agent architectures, and research papers emerge every week. Yet building AI systems that reliably solve real-world problems remains one of the hardest engineering challenges. As a Frontier Agent Engineer (Applied AI) , you'll bridge the gap between cutting-edge AI research and production deployment. You'll work directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles that focus on a single model or product, you'll work across a diverse portfolio of AI challenges spanning multiple industries and use cases. You may build a multi-agent research system and then participate in designing a customer intelligence platform, a healthcare copilot, or an autonomous workflow for a Fortune 100 company. If you enjoy reading new AI papers, experimenting with the latest models, and shipping production systems that create measurable business impact, you'll fit right in. What You'll Build Frontier AI Systems Design and deploy production AI agents that leverage the latest advances in large language models, reasoning, retrieval, memory, and tool use. Architect intelligent systems that combine LLMs, traditional machine learning, structured knowledge, enterprise data