AI Platform Engineer

SingleStore develops a data management platform built for multi-cloud flexibility. Customers can configure networking, storage, and computation to fit their needs, launching production-ready systems that use the latest cloud and Kubernetes technologies. The platform is designed for more than traditional databases, supporting real-time AI applications and enabling retrieval, reasoning, agent workflows, and automation across enterprise data. The AI Platform team creates and maintains the software foundation for AI-native features at SingleStore. This includes work on distributed systems, cloud infrastructure, and AI engineering. The team delivers production systems that support AI and machine learning capabilities, agent runtimes, tool integrations, and operational reliability at scale. The goal is to give customers secure, reliable ways to use AI with their own data, not just experimental tools. Role overview The Software Engineer - AI Platforms will design and build core features for AI/ML and AI Agents in SingleStore Cloud. Projects include developing services for model and tool orchestration (such as MCP-style discovery and execution), agent workflows, retrieval pipelines (with embeddings and vector search), evaluation and observability tools, and secure multi-tenant operations. Daily work involves Go and Python, Kubernetes, and cloud-native technologies. Strong fundamentals in AI and machine learning inform engineering decisions. Location This position is based in India.

About Addepar Addepar is a global data and AI platform serving investment professionals. The company brings together portfolio, market, and client data to deliver actionable insights and streamline investment workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on close to $9 trillion in assets. The platform integrates with around 650 partners in software, data, and consulting, supporting a wide range of investment operations. Addepar has offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, and São Paulo. Role Overview The AI Platform team at Addepar is hiring a Senior Frontend Software Engineer in Pune, India. This group builds the next generation of Addepar’s AI platform, focusing on natural language processing and data intelligence to power intuitive insights and interactions across AI products. What You Will Do Design and refine interactive interfaces for AI Platform products. Work closely with product design, backend, and AI/ML engineers to create seamless, reliable AI experiences. Focus on details that shape real-time AI interactions, from frame rendering to user engagement. Help ensure the platform meets Addepar’s standards for performance and transparency. Requirements Legal authorization to work in India from the first day of employment. Visa sponsorship is not available for this role.

Addepar seeks a Staff Software Engineer to join the Infrastructure team in Pune, India. This role centers on the AI Platform, supporting the systems that enable AI projects throughout the company. Key responsibilities Design, build, and maintain infrastructure systems that support AI initiatives. Collaborate with cross-functional teams to enhance and optimize the technology stack. Prioritize scalability and performance as the AI Platform develops. Location This position is based in Pune, India.

About AIONAION is at the forefront of innovation, developing a cutting-edge interoperable AI cloud platform that is set to redefine high-performance computing (HPC). Our decentralized AI cloud is engineered for bare-metal performance, democratizing access to compute resources and offering managed services. Our goal is to create an all-encompassing AI lifecycle platform, guiding organizations from data collection to model deployment through our unique forward-deployed engineering methodology.As AI reshapes industries globally, the demand for computational power is escalating. AION is committed to being the gateway for dynamic compute workloads, constructing integration pathways with various global data centers and revolutionizing the compute stack with our advanced serverless technology. We prioritize enterprise security and compliance, re-evaluating every aspect of our infrastructure, from hardware to API interfaces.With a team of highly experienced founders who have previously achieved successful exits and strong backing from prominent venture capitalists, AION is strategically positioned with global partnerships. Our headquarters are in the US, and we are building our initial core team in India.Who You AreYou are an experienced engineer with a proven track record in building and scaling high-performance inference systems tailored for AI/ML workloads. Your deep understanding of the complexities involved in serving models at scale—such as latency optimization, resource orchestration, autoscaling dynamics, and maintaining production reliability—sets you apart. You have designed distributed systems capable of processing thousands of requests per second while ensuring sub-second response times and cost efficiency.Proficiency in Golang is highly desirable, and familiarity with inference engines (e.g., vLLM, TGI, TensorRT), containerization, and distributed systems will be advantageous. You are proactive in making platform-level decisions, strategically balancing performance and cost, and your contributions will empower AI inference for countless developers worldwide.You have a product-oriented mindset, considering how your technical choices affect developers using AION's platform and focusing on the complete user experience. You are a collaborative team player, adept at juggling multiple responsibilities—whether optimizing inference latency, engaging with customers to address their deployment challenges, or assisting with UI/UX, customer success, and product operations.

Role overview Addepar seeks a Senior Backend Software Engineer for its AI Platform team based in Pune, India. The position involves designing, building, and improving backend services that power Addepar’s financial technology products. Main responsibilities Develop and enhance backend systems supporting the AI platform. Translate complex business requirements into effective technical solutions in partnership with engineering and cross-functional teams. Write clean, efficient, and maintainable code. Improve system performance and scalability to ensure reliability and support future growth. Collaboration This role involves close collaboration with engineers, product managers, and other stakeholders. The goal is to deliver software that aligns with both technical standards and business objectives.

About Wisdom AIAt Wisdom AI, we believe that simplicity is the key to clarity. Our mission is to transform the complexities of data interaction for businesses, enabling them to democratize insights and make swift, informed decisions.Our culture is anchored by core values that drive our operations:Default to Action: We prioritize speed and value progress.Customer Obsessed: Our primary focus is delivering exceptional value to our customers.One Team: We foster open communication and respectfully challenge ideas.Role OverviewWe are seeking a dedicated backend/infrastructure engineer to join our pioneering team. You will be instrumental in developing machine learning and data pipelines that are efficient, secure, and designed for scalability. As a platforms engineer, you will oversee deployments, observability, and other critical elements necessary for scaling our production environment to meet customer needs.Your ResponsibilitiesTake ownership of the observability and deployments within the Wisdom tech stack.Collaborate with fellow software and sales engineers to establish effective processes and tools for managing production changes.Utilize modern cloud infrastructure to develop cost-efficient and scalable systems.Engage closely with customers and founders to shape the product and engineering roadmap.Contribute to the development of our engineering culture and technology stack.QualificationsProven experience in building highly available and scalable cloud infrastructure.Proficient in Kubernetes, Terraform, and Python.Bachelor's or Master's degree in Computer Science or a related field.Experience in startup environments is a plus.

About UsAt Helpshift, a proud member of Keywords Studio, we are redefining customer service by bridging the gap between traditional support channels like email and phone and the modern consumer's preference for messaging on mobile devices. Our AI-driven customer service platform empowers companies to resolve issues swiftly, significantly enhancing customer satisfaction. Renowned brands such as Supercell, Scopely, and Rovio trust Helpshift to deliver messaging-first customer support. With our platform installed on over 2 billion devices globally, we serve more than 820 million active users, showcasing our impressive scale:85,000 requests per second (RPS)30 milliseconds response time300 GB data transfer per hour1,000 virtual machines deployed at peakWe are on the lookout for a motivated, experienced, and solution-oriented Platform Software Engineer II who thrives in a dynamic, technology-focused environment. You will play a pivotal role in our product and platform development team, collaborating across various teams to create top-notch, scalable products.

Who We Are:Motive empowers those managing physical operations by providing innovative tools designed to enhance safety, productivity, and profitability. For the first time, safety, operations, and finance teams can oversee their drivers, vehicles, equipment, and fleet-related expenses through a single, integrated system. With cutting-edge AI technology, the Motive platform offers unparalleled visibility and control, significantly minimizing manual workloads through automation and simplification of tasks.Serving nearly 100,000 customers, from Fortune 500 companies to small enterprises, Motive spans a vast array of industries including transportation, logistics, construction, energy, field services, manufacturing, agriculture, food and beverage, retail, and the public sector.Learn more about us at gomotive.com.About The RoleAt Motive, we’re not just looking for engineers—we’re in search of Superbuilders. As a Senior Software Engineer, you will play a pivotal role in designing and developing pioneering AI/ML platforms and large-scale distributed systems, transforming ambitious visions into scalable, high-performance solutions. You thrive on tackling complex technical challenges, swiftly mastering new technologies, and delivering practical solutions that create impact at scale.This position grants you the opportunity to influence technical stack decisions, shape the company’s engineering roadmap, and collaborate closely with technical leads. You will engage in significant workstreams, with the freedom to innovate and take ownership of projects across devices, cloud, and mobile platforms. If you are a self-starter with a data-driven mindset and a passion for excellence, this is the role for you.What You’ll Be DoingArchitect and Build: Design, develop, and optimize high-performance software and firmware for next-gen IoT platforms.Turn Vision into Reality: Collaborate with executive and product teams to translate abstract ideas into actionable engineering plans.Debug and Validate: Troubleshoot and optimize software on complex distributed systems, ensuring security, scalability, and resilience.Develop Automated Testing: Create data test-driven end-to-end simulation frameworks to validate system integrity at scale.Adopt Cutting-Edge Tools: Leverage AI-powered coding tools to enhance productivity and drive innovation.Lead by Example: Act as a technical mentor, fostering a culture of excellence, ownership, and pragmatism across the engineering team.Iterate and Innovate: Embrace rapid iteration and innovation in your work.

Senior Software Engineer - Platform at SeekOut (Bangalore, Karnataka, India) About SeekOut SeekOut builds AI-powered tools that help organizations recruit, reskill, and redeploy talent. Our software and services support companies in aligning their hiring and talent strategies with business goals. Teams use SeekOut to find the right people and place them where they can make the most impact. Role Overview The Senior Software Engineer - Platform will design and improve core platform capabilities. This role focuses on building scalable solutions that support SeekOut’s mission to help companies build stronger teams.

Join Emergent Labs Inc., a pioneering company dedicated to revolutionizing software development through autonomous coding agents. Our innovative platform transforms plain-language intent into fully functional applications, streamlining the process of generating, testing, and deploying production-grade software. Since our public launch, we have achieved remarkable milestones, reaching $100M ARR in just 8 months and empowering over 6M users across 190+ countries to create more than 6.5M applications. With a robust backing of over $100M from notable investors including Khosla Ventures, SoftBank, Google, Lightspeed, Prosus, Together, and Y Combinator, we are at the forefront of AI-driven software solutions. Our team is comprised of talented individuals, including repeat founders, Olympiad medalists, and alumni from prestigious institutions like IIT and IIM, as well as leaders from tech giants such as Google, Amazon, and Dropbox. We are on a mission to tackle the most challenging aspects of AI-driven software creation, focusing on correctness, reliability, security, and scalability in real-world systems. We are looking for passionate builders who thrive on ownership, rapid execution, and making a global impact.

About AlphaSense:AlphaSense is the trusted market intelligence platform used by leading companies to eliminate uncertainty in their decision-making. Our sophisticated AI-driven search technology extracts actionable insights from a vast array of reliable content, including equity research, company filings, event transcripts, expert calls, news articles, trade journals, and proprietary research from our clients.In 2024, AlphaSense's acquisition of Tegus enhances our commitment to empowering professionals with AI-driven market intelligence. Together, we are set to drive innovation and expand our content offerings, enabling users to glean deeper insights from an extensive range of resources. With over 6,000 enterprise customers, including a significant portion of the S&P 500, AlphaSense is headquartered in New York City and employs more than 2,000 people globally, with offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Join our dynamic team!About the RoleWe are in search of a skilled engineering leader who will revolutionize how we design and operate AI systems at scale. You will collaborate with a team of exceptional engineers dedicated to building state-of-the-art AI applications, ensuring that our innovations operate flawlessly for our enterprise clientele.This is a remarkable opportunity for a seasoned engineer who excels in developing robust platforms, mentoring talented teams, and driving engineering excellence. You will have the autonomy to shape our technical architecture while engaging with cutting-edge AI models and systems that facilitate market intelligence for some of the world’s foremost companies.What You’ll DoArchitect for Scale: Create and implement distributed systems that facilitate AI agents handling thousands of requests per hour, ensuring reliability, performance, and cost-effectiveness.Build Engineering Excellence: Develop comprehensive testing strategies, observability systems, and CI/CD pipelines that preemptively identify issues before they affect customers.Lead Through Expertise: Guide a team of intelligent, motivated engineers, sharing your expertise in developing production systems that maintain high reliability.

At WEKA, we are pioneering a transformative approach to the enterprise data stack, designed for the era of reasoning. Our flagship product, NeuralMesh by WEKA, exemplifies the forefront of agentic AI data infrastructure, offering a cloud and AI-native software solution that is adaptable to any environment. This innovation converts traditional data silos into dynamic data pipelines, significantly boosting GPU utilization and enhancing the speed, efficiency, and energy consumption of AI model training, inference, and other high-compute workloads.As a pre-IPO, growth-stage enterprise, WEKA is experiencing remarkable growth, having secured $375 million in funding from prominent venture capital and strategic investors. We collaborate with some of the largest and most innovative organizations worldwide, including 12 of the Fortune 50, to accelerate their discoveries, insights, and sustainable business outcomes. Our team is driven by a commitment to address our customers' most intricate data challenges and to foster intelligent innovation and business value. If this resonates with you, we welcome you to embark on this exciting journey with us.

About Joist AIJoist AI is at the forefront of transforming the architecture, engineering, and construction (AEC) industry with our innovative technology solutions. Our AI-driven software simplifies marketing and revenue operations, enabling teams to collaborate more effectively, drive innovation, and achieve remarkable success.Role Overview We are seeking a talented Platform Engineer to architect and develop the core foundation that fuels our development processes. Your mission will be to streamline operations for our engineering teams by creating a self-service "Internal Developer Platform." You will go beyond mere management of cloud environments; you will treat infrastructure as a product, developing automated workflows and abstractions that empower developers to deploy, scale, and manage their services confidently, eliminating the need for waiting on tickets.Key ResponsibilitiesEstablish the "Golden Path": Design and maintain internal developer tools and self-service portals that simplify AWS complexities, enabling developers to provision resources independently.Leadership in Infrastructure as Code (IaC): Spearhead the adoption of modular, reusable IaC components (Terraform/Pulumi) that can be utilized across teams as a service.Continuous Integration/Continuous Deployment (CI/CD) Advancement: Design high-performance delivery pipelines that incorporate automated security checks, testing, and blue/green deployment strategies.Standardization & Governance: Develop and enforce organizational standards for logging, secrets management, and networking to ensure uniformity across all microservices.System Observability: Create an "observability-as-a-service" layer, ensuring that every new service is automatically equipped with appropriate dashboards and alert thresholds.Cross-Functional Support: Collaborate with product engineering teams, assisting them in optimizing their service architecture for the platform.QualificationsExperience: 4–6 years in Platform Engineering, DevOps, or Site Reliability with a strong emphasis on developing internal tools.Cloud Architecture Expertise: Comprehensive knowledge of AWS services (Lambda, RDS, S3, Step Functions, VPC networking) and secure integration of these services.Proficiency in IaC: Experience with tools such as Terraform or Pulumi.CI/CD Familiarity: Understanding of automated testing and deployment processes.Strong Communication Skills: Ability to effectively collaborate with diverse teams.

About AlphaSense: AlphaSense empowers the world's leading companies to eliminate uncertainty in decision-making. Our AI-driven market intelligence platform delivers critical insights from a trusted array of public and private content, including equity research, company filings, event transcripts, expert calls, and news. Our commitment to innovation was further strengthened by the acquisition of Tegus in 2024, enhancing our ability to provide unparalleled insights and accelerating our growth. With over 6,000 enterprise clients, including many from the S&P 500, AlphaSense, founded in 2011 and headquartered in New York City, employs more than 2,000 individuals worldwide across various offices including the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Join us in making a difference!About the RoleWe are in search of a seasoned engineering leader to redefine the construction and operation of AI-powered systems at scale. In this role, you will collaborate with a team of exceptional engineers who have developed state-of-the-art AI applications. Your goal will be to instill world-class engineering practices that ensure our innovations deliver consistent reliability for our enterprise customers.This position offers a unique opportunity for an experienced engineer passionate about building resilient platforms, mentoring talented teams, and fostering engineering excellence. You will have significant autonomy to influence our technical architecture while engaging with cutting-edge AI models and systems that drive market intelligence for the leading companies globally.What You Will DoArchitect for Scale: Design and deploy distributed systems that enable AI agents to handle thousands of requests per hour, ensuring optimal reliability, performance, and cost-effectiveness.Build Engineering Excellence: Develop thorough testing strategies, observability frameworks, and CI/CD pipelines that proactively identify issues before they reach customers.Lead Through Expertise: Guide a team of bright and motivated engineers, sharing your expertise in developing production systems that maintain high availability.

About AlphaSense: AlphaSense is the trusted partner for the world's most advanced companies, empowering them to eliminate uncertainty in their decision-making processes. Our AI-driven market intelligence platform delivers crucial insights from a wide array of reliable content, including equity research, corporate filings, event transcripts, expert calls, news articles, trade journals, and proprietary research. In 2024, AlphaSense's acquisition of Tegus further strengthens our commitment to helping professionals make informed decisions with enhanced AI-powered market intelligence. Together, we will drive growth and innovation, offering users the ability to discover deeper insights from extensive content repositories. Our platform is utilized by over 6,000 enterprise clients, including a significant portion of the S&P 500. Established in 2011, AlphaSense is headquartered in New York City, boasting a global team of more than 2,000 employees across offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Join us in our mission!About the RoleWe are looking for a skilled engineering leader who will revolutionize our approach to developing and managing large-scale AI-powered systems. You will be part of an elite team of engineers known for creating state-of-the-art AI applications, and your goal will be to implement world-class engineering practices that guarantee the reliability of these innovations for our enterprise clientele.This is an extraordinary opportunity for a seasoned engineer who excels in building resilient platforms, mentoring talented teams, and fostering engineering excellence. You will have substantial freedom to influence our technical architecture while collaborating with cutting-edge AI models and systems that drive market intelligence for leading global companies.

About InvoiceCloud:InvoiceCloud is a dynamic fintech leader that has garnered 20 prestigious awards in 2025, including accolades from USA TODAY and Boston Globe for Top Workplaces, as well as multiple SaaS Awards for Best Solution in Finance and FinTech. We have also received national customer service accolades from Stevie and the Business Intelligence Group. Our mission is to reduce digital exclusion and restore simplicity and dignity to payment processes for essential services while leading in AI maturity and responsible innovation. It’s an award-winning, purpose-driven environment where top talent thrives. To learn more, visit InvoiceCloud.com.Job DetailsThe SDET – AI Platform plays a crucial role in guaranteeing the quality, reliability, performance, and security of the generative AI capabilities that drive the InvoiceCloud platform. This position involves developing automated testing frameworks, semantic validation tools, and continuous monitoring to facilitate enterprise-grade AI delivery at scale.You will collaborate closely with Product, AI Engineering, Data Science, Platform, and Security teams to achieve measurable, observable, and responsible AI outcomes. Success in this role is measured by reduced release risk, enhanced AI accuracy, and increased developer productivity through automation and continuous validation.

Join Joist AI as a Senior Platform Engineer and play a pivotal role in reshaping the architecture, engineering, and construction (AEC) industry's approach to marketing and revenue operations. Our innovative AI-driven software simplifies workflows, enhancing team collaboration and success.In this position, you will craft the essential infrastructure that drives our intricate AI and data pipelines. You will serve as the architect of our 'Golden Path,' minimizing friction for our developers and ensuring our multi-model AI architecture—integrating OpenAI, Anthropic, Gemini, and Amazon Nova—is robust, secure, and scalable. Collaborating closely with our DevOps team, you will help create a first-class platform that reflects our commitment to innovation.

At Commure, we are passionate about revolutionizing healthcare by simplifying the experience for providers and patients alike. Our ambitious goal is to reshape the healthcare landscape, establishing a new paradigm for care delivery and patient engagement across the industry. Our comprehensive suite of AI-driven solutions includes ambient AI clinical documentation, provider copilots, autonomous coding, and revenue cycle management, all crafted to empower healthcare professionals to concentrate on what matters most: delivering exceptional care.The healthcare sector is a colossal $4.5 trillion industry, with over $500 billion allocated annually to administrative expenses, and Commure is at the forefront of this transformation. We serve more than 500,000 clinicians across numerous care facilities nationwide, processing over $10 billion through our systems and facilitating over 100 million patient interactions. With exciting new product launches on the horizon and a bold vision to address healthcare's most pressing challenges, we aim to transition from a pioneering innovator to the industry standard in the coming years.Commure has been recognized in Fortune’s Future 50 list for 2025 and is supported by esteemed investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, and Greenoaks Capital, among others. Our remarkable growth trajectory has surpassed 300% year-over-year for the past two years, and this is just the beginning. The moment for AI-powered transformation in healthcare is now, and we are dedicated to building the technology that will drive it. Join us in shaping the future of healthcare.About the RoleWe are on the lookout for a talented Backend Software Engineer to play a pivotal role in constructing our state-of-the-art Electronic Health Record (EHR) platform from the ground up. The EHR Engineering Team is responsible for managing all EHR features comprehensively, working closely with our AI and Revenue Cycle Management teams to ensure a seamless, data-centric healthcare experience for both providers and patients.Your ResponsibilitiesCreate Innovative Solutions: Produce clean, efficient, and maintainable code that brings our EHR vision to fruition.Develop Data Pipelines and Infrastructure: Architect and deploy robust, scalable data pipelines for internal and external healthcare data sources, ensuring top-notch data quality and availability.Lead Data Migrations and Strategy: Oversee the complete execution of complex data migrations to onboard clients, minimizing downtime while ensuring data integrity.Engage in Cross-Functional Collaboration: Partner with product, AI, and RCM teams to align efforts and deliver impactful solutions.

P-1348 At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging problems in the world, ranging from security threat detection to the development of cancer drugs. Our mission is to create and manage the leading data and AI infrastructure platform, allowing our customers to concentrate on the critical challenges central to their missions. Our engineering teams are committed to developing innovative technical products that meet real and significant needs globally. We continuously push the limits of data and AI technology while ensuring resilience, security, and scalability to enhance our customers' success on our platform. We are responsible for the operation of one of the largest scale software platforms, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data on a daily basis. At this scale, we encounter cloud hardware, network, and operating system issues, and our software must effectively shield our customers from these challenges. As a Senior Software Engineer on the Data Platform team, you will contribute to building the Data Intelligence Platform for Databricks, which aims to automate decision-making across the organization. You will collaborate closely with Databricks Product Teams, Data Science, Applied AI, and more. Your role will involve developing a range of tools for logging, orchestration, data transformation, metric storage, governance platforms, and data consumption layers. You will leverage the latest and most advanced Databricks products and other tools in the data ecosystem. Our team also serves as a substantial in-house customer, using Databricks to inform the future direction of our product. Your Impact: Design and manage the Databricks metrics store, enabling all business units and engineering teams to consolidate and share detailed metrics on a common platform with high quality, introspection capabilities, and query performance. Lead the development of the cross-company Data Intelligence Platform, which encapsulates all business and product metrics essential for running Databricks. You will play a pivotal role in balancing data protection with ease of shareability as we transition to a public company. Create tools and infrastructure to efficiently manage and operate Databricks on Databricks at scale across multiple clouds, geographies, and deployment types. This includes CI/CD processes, testing frameworks for pipelines and data quality, and infrastructure-as-code tooling. Establish the foundational ETL framework utilized by all pipelines developed within the company. Collaborate with our engineering teams to provide...