Ai Partnerships in India

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the Team: The Customer Operations team works closely with new and existing customers by implementing product features, managing the operational parts of the platform, and optimizing our client’s sales performance management processes. We are always ready to support and help our customers to identify ways they can unleash the revenue-driving potential of their sales compensation program. If you’re passionate about data analytics and want to contribute to sales operations, we’d love to hear from you! What you’ll be doing: • Work with new and existing customers to implement the company's new platform features as well as manage and optimize client processes • Learn the architecture and design of the company's platform to the extent of being able to independently complete updates, enhancements, and change requests • Lead onboarding & activities, including requirements gathering for incentive compensation plan rules, data analysis, and quality control • Assist the ongoing operations for a portfolio of existing customers and implement new features (i.e. rule building, process execution, reporting and dashboarding, and product support) • Scope, build and test automated workflows, processes and reporting capabilities to support automation of incentive compensation processes and improve business visibility • Support design projects including analysis, financial modelling, project planning, customer workshops

About Us Oliv.AI is a SalesTech global startup headquartered in San Francisco, debuting the world's first team of AI Agents for sales. With our recent $5.2M Seed funding, we solve one of the biggest problems for revenue teams: unreliable deal data. Oliv captures Deal Intelligence from every meeting, call, and email—without any rep involvement. The result is a clear, detailed view of every deal, presented in scorecards built on trusted sales methodologies like MEDDICC, BANT, and SPICED. Our AI agents are built for sales teams—sales managers, AEs, and RevOps—handling the work that takes them away from selling. With Oliv AI, sales teams can bring back focus on deals, strategy and conversation. About the Role We’re looking for an exceptional engineer to join the core team at Oliv AI. This is a high-ownership role for someone who can take an ambiguous product or engineering problem, figure out what actually needs to be solved, and drive it end-to-end from architecture and prototyping to production and iteration. You’ll primarily work on backend systems, but we don’t want engineers constrained by boundaries. If the problem requires frontend, infrastructure, data, AI/LLM integrations, or internal tooling, you should be comfortable figuring it out. We’re looking for someone with strong engineering judgment, someone who can spot what is not working, simplify complexity, think from the customer’s perspective, and improve the systems and practices around them. What You’ll Do Own complex, ambiguous engineering problems from first principles through production Design simple, scalable, reliable systems and make strong architectural trade-offs Think beyond the ticket and understand the customer problem behind what you’re building Identify technical or product issues proactively, not only when they are assigned Work across backend, frontend, infrastructure, data, and AI when needed Prototype quickly, test different approaches, and make decisions based on evidence Use mode

About the Role Together AI runs one of the largest GPU fleets in the world. The Infra Agent Systems team builds the software systems that power and automate that infrastructure. We develop production AI agents that diagnose hardware failures, investigate incidents, correlate signals across the fleet, and automate operational workflows. Alongside these agents, we build the platform they run on, including knowledge graphs, retrieval systems, orchestration frameworks, and developer tooling. You’ll work across two areas: Infrastructure Agent Systems — Build production AI agents that help operate our GPU fleet by diagnosing failures, investigating incidents, gathering evidence from live systems, and assisting with remediation. These agents are used every day by our infrastructure and datacenter teams through APIs, CLI, dashboards, and Slack. Core Agent Platform — Build the platform that powers these agents, including knowledge graphs, search and retrieval, orchestration, evaluation, and the tooling that enables agents to reason, act, and continuously improve. We’re working on something that hasn’t really been done before: building knowledge graphs and self-improving AI agents that understand, operate, and continuously improve large-scale AI infrastructure. This is an opportunity to work at the intersection of AI agents, distributed systems, infrastructure, and automation , solving challenging engineering problems with real production impact. There’s an enormous amount to build, learn, and shape as we define the future of autonomous infrastructure. responsible for delivering the software but also for operating and supporting it in production. Why this Role You’ll work on two hard problems at the same time: making AI agents trustworthy enough to operate production infrastructure, and building the knowledge, retrieval, and distributed systems that make those agents effective. You’ll have the opportunity to build foundational systems from the ground up, work on infrastructur

About the Role REMOTE IN INDIA We're looking for a software engineer to build the Kubernetes-native control plane that provisions and runs our GPU inference fleet. You'll design a manifest-driven API where the inference team declares what they need, whether that's a cluster, a model deployment, or a capacity change, and our controllers handle the reconciliation, provider/runtime selection, and lifecycle management underneath, so the inference team never has to know or care which specific serving stack, scheduler, or hardware pool is doing the work. You'll also build the systems that keep the fleet efficient, not just running, including defragmentation and rebalancing logic that consolidates scattered workloads back into contiguous capacity, and scheduling/bin-packing improvements that push GPU utilization up without hurting latency. The core value we're after is decoupling the people building on top of the platform from the operational and runtime complexity underneath, while squeezing more usable capacity out of the same hardware. You'll build the controllers, reconciliation loops, and self-service surface (API/CLI, not tickets) that make that decoupling real, plus the event-driven health, remediation, and utilization systems that keep it running and efficient without a human in the loop. Strong candidates have hands-on experience with Kubernetes controller/CRD patterns, have built or operated a platform API that abstracts multiple backends behind one interface, understand GPU scheduling and capacity efficiency (fragmentation, bin-packing, right-sizing), and think about GPU infrastructure as software to be engineered. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine

Scale is looking for a Support Systems & Routing Specialist to own and optimize the core infrastructure powering our contributor support operations. In this role, you will be responsible for configuring and maintaining systems like Zendesk, designing routing logic, and building scalable frameworks that ensure tickets are assigned accurately and efficiently. As our operations continue to grow, this role will play a critical part in ensuring our support systems scale seamlessly with increasing volume and complexity. You will partner closely with Support Ops, Product, Engineering, and cross-functional stakeholders to translate operational needs into robust system configurations. You will be part of a highly detail-oriented and systems-driven team, where your work directly impacts operational efficiency and contributor experience. This role is ideal for someone who thrives in building and improving systems that others rely on daily, and who enjoys solving complex operational challenges at scale. You will: Own end-to-end Zendesk configuration, including ticket forms, fields, macros, triggers, automations, SLAs, and views Design and maintain routing logic to ensure accurate ticket distribution across skills, queues, and teams Build and manage the support agent skills framework (skills, tiers, certifications, queue structures) Monitor and optimize queue health, load balancing, and ticket assignment accuracy Configure and maintain integrations across support tools and reporting systems Troubleshoot system issues and partner with Engineering or vendors when needed Collaborate with Support Ops, T&S, TPMs, and Product to implement and improve workflows Document system configurations, workflows, and best practices clearly Provide training and guidance to stakeholders on system usage and routing logic Ideally you’d have: Experience administering Zendesk or similar support CRM systems Experience designing routing logic or managing skills-based systems in high-volume envir

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. Senior Emulation Engineer Location: India - Remote Job Description: At EnCharge AI, we are building the next generation of AI compute silicon — purpose-built for high-performance, low-power, and scalable AI inference. As an Emulation Engineer, you will play a critical role in validating complex AI accelerator architectures on emulation platforms before tape-out. This position is ideal for someone passionate about bridging the gap between hardware and software in fast-paced, deep tech environments. Responsibilities: • Set up and maintain Siemens Veloce emulation and prototyping platforms • Adapt SoC designs for Emulation and Prototyping • Develop and debug emulation testbenches and system-level environments • Support pre-silicon validation, power/performance analysis, and early software bring-up. Participate in silicon bring-up and validation. • Collaborate with design and verification teams to isolate design issues and accelerate debug. • Optimize performance of the emulation workloads and reduce turnaround time. • Work with firmware/software teams to enable use of emulators for OS and driver testing. Required Background: • BS/MS/Ph.D. in EE, CS, or related field with 7+ years of SoC design experience. • Experience with emulation platforms (Veloce, Palladium, or ZeBu) and FPGA-based prototyping systems (proFPGA, HAPS, or Protium) • Experience with emula

About Bolna Bolna is Voice AI infrastructure built for India - and now for the world. We help businesses deploy intelligent voice agents that can call, converse, and convert in any language, at scale. From collections to customer support to sales, our agents handle millions of conversations so humans don’t have to. We’re a YC F25 company, backed by General Catalyst, with 1,050+ paying customers and growing fast. Our team of ~25 is based in Bengaluru. The Role Every voice AI agent Bolna deploys makes real-time judgment calls - when to speak, when to go silent, when a customer is done talking, when to hand off. We’re building automated systems to grade these calls at scale, using LLMs as judges of call quality. But before you trust a model’s judgment, you verify it against a human’s. That’s this role. You’ll listen to real calls, annotate what actually happened, and check whether our automated systems - LLM-as-judge evals and quantitative signal detection - got it right. It’s precise, high-attention work, and it sits right at the center of how we know our voice agents are actually working. This is an internship role for someone early in their career who wants hands-on exposure to how a voice AI company builds trust in its own AI. What You’ll Do Annotation Listen to and annotate real customer calls - transcription review, issue tagging, labeling - using tools like Label Studio Follow (and help sharpen) annotation guidelines for a multilingual environment (Hindi, English, Hinglish, ) Verifying LLM-as-Judge Evaluations For calls flagged by our automated eval pipeline, verify whether the model’s call was actually correct - for example, confirming whether a detected barge-in (agent/customer talking over each other) genuinely happened by listening to the audio Mark agreements and disagreements clearly, with reasoning, so we can measure and improve model accuracy over time All tools needed for this will be provided Verifying Quantitative Measures Check system-flagged quantit

At Bolna, we’re building tools that change the way teams leverage Voice AI. We’re looking for a Founding Machine Learning Engineer to own the end-to-end lifecycle of building, evaluating, deploying, and improving models that power millions of production conversations. This is a high-impact, high ownership role where you won’t just work on Bolna’s ML stack—you’ll help build the foundation it scales on. Our team includes IIT alumni with experience at Bain, Atlassian, Uber, Zomato, and LinkedIn, and is backed by leading investors. Responsibilities: Build the data engine - Design pipelines to source and clean conversational voice data across Indian languages, accents, and telephony conditions. Fine-tune models that ship - Fine tune and train models to improve accuracy, speed, and reliability across different use-cases. Define what "good" means - Build evaluation datasets and benchmarks for transcription accuracy, voice naturalness, interruption handling, latency, and end-to-end conversation quality. Set up human-in-the-loop pipelines to capture subjective quality at scale. Ship to production - Work with the engineering team to deploy models into a latency-sensitive, high-volume system. Monitor performance in the wild, debug regressions, and iterate fast. Required Skills: 3+ years of hands-on ML experience with deep practical real-world experience in training models. Strong Python and PyTorch fundamentals with exposure in distributed training, and modern fine-tuning techniques (LoRA, QLoRA, DPO, RLHF, etc.). Training data as a first-class problem. Experience designing data pipelines from collection, cleaning, labeling, deduplication, augmentation and treating data quality as a core engineering discipline. Rigorous about evaluation. You know that "looks good in a demo" is not a benchmark. You build the evals before you trust the model. Speech model experience is a plus with real-time / streaming inference experience where you would have contributed to latency optimization

At Bolna, we’re building tools that change how businesses leverage voice AI. We’re looking for a Software Engineer to build reliable, scalable systems that power millions of production conversations across languages, industries, and telephony environments. This is a high-impact, high-ownership role where you’ll work on core platform problems across distributed systems, real-time communication, developer infrastructure, and customer-facing products. Our team includes IIT alumni with experience at Bain, Atlassian, Uber, Zomato, and LinkedIn, and is backed by leading investors. Responsibilities Build systems that operate at scale: Design and build backend services that support high-volume, real-time voice AI conversations with strong reliability, performance, and fault tolerance. Own features end to end: Take problems from product requirements and technical design through implementation, testing, deployment, monitoring, and iteration. Improve platform reliability: Build systems that are observable, resilient, and easy to debug. Identify bottlenecks, reduce failure rates, and improve system availability. Work on real-time infrastructure: Solve problems across telephony, streaming audio, webhooks, queues, scheduling, concurrency, and low-latency communication. Build for developers and customers: Improve APIs, SDKs, integrations, dashboards, and internal tools that make the Bolna platform easier to use and operate. Raise the engineering bar: Contribute to technical design reviews, code quality, testing standards, documentation, incident response, and engineering best practices. Required Skills Strong engineering fundamentals: Solid understanding of data structures, algorithms, databases, networking, operating systems, and distributed systems. Backend development experience: 2+ years of experience building and operating production backend systems using Python, Go, Java, Node.js, or a similar language. Production ownership: Experience shipping software to production and own

About AiDASH AiDASH is leading the PreventionFirst™movement for electric utilities and transforming grid resilience through its pioneering platform that unifies vegetation, asset, storm, and wildfire intelligence. Powered by SatelliteFirst™ Inspection & Monitoring, AiDASH delivers comprehensive visibility across the entire grid at the right frequency and budget, using the right data modality. More than 200 customers trust AiDASH to keep the lights on, spend where it counts, and defend every decision, Securing Tomorrow across every mile of the grid. Learn more at www.aidash.com. The PreventionFirst movement is growing, and so is the recognition behind it. In 2026, Forbes named AiDASH one of America's Best Startup Employers for the 4th consecutive year, and TIME included AiDASH among America's Top GreenTech Companies for the 3rd year in a row. Deloitte Technology Fast 500 ™ ranked AiDASH No. 12 in the San Francisco Bay Area, and No. 59 overall in their selection of the top 500 for 2024. Join us in Securing Tomorrow Together! The Role As a Geospatial Analyst at AiDASH, you will produce high-quality annotated datasets from diverse imagery sources — satellite, LiDAR, aerial, and ground-based panoramic images and videos. Your work will directly feed AI/ML pipelines and client deliverables that protect critical infrastructure. This role demands a sharp eye for detail, comfort working with visual and geospatial data at scale, and fluency with modern AI tools. You won’t just annotate images; you’ll build AI-accelerated workflows that make the entire team faster. How You’ll Make an Impact Annotate and label imagery (satellite, LiDAR, aerial, drone, ground-based panoramic photos and videos) to identify, classify, and delineate features such as vegetation, assets, terrain, and infrastructure components Prepare,

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. Staff Software Engineer An overview of this role As a Staff Software Engineer, you’ll be the founding engineer for a new functional team that owns glab, GitLab’s Go-based command-line interface (CLI) and a key part of our Developer Clients strategy. You’ll guide its technical direction end to end, owning architecture, implementation, roadmap execution, and day-to-day technical choices. You’ll serve a highly technical developer audience and an engaged open source community while working as a self-directed staff engineer in an IC role with minimal guidance. You’ll work within the Developer Clients group in GitLab’s AI Clients stage

Staff Software Engineer Bengaluru, Karnataka, India Opportunity Get Well is seeking a visionary and technically adept Staff Software Engineer to architect, design, develop, and optimize our cloud-native healthcare platform while driving the adoption of AI-First and AI-Augmented Software Engineering practices. This role is pivotal in shaping the future of software development at Get Well by combining deep technical expertise with modern AI-assisted engineering workflows. As we evolve toward an AI-First engineering organization, this leader will champion the use of Generative AI, AI development assistants, and Agentic AI to improve developer productivity, software quality, and engineering velocity. The ideal candidate brings deep expertise in software architecture, cloud-native application development, AI-enabled engineering, and distributed systems. This role provides technical leadership across multiple engineering teams, ensuring high standards for architecture, code quality, reliability, security, and AI adoption. This is a hands-on leadership role where strategic thinking meets deep engineering execution within a complex healthcare environment. This position reports to the Director, Product Development and requires close collaboration with software engineers, AI engineers, product managers, DevOps, QA, and compliance specialists. Key Responsibilities Technical Leadership Define and drive the architecture of scalable, distributed healthcare platforms. Champion AI-First Software Engineering practices across the development lifecycle. Lead the adoption of AI-Augmented Development , including spec-driven development, AI-assisted coding, code reviews, testing, and documentation. Establish engineering standards, Cursor/AI coding guidelines, reusable patterns, and governance for responsible AI usage. Provide hands-on leadership in architecture, coding, design reviews, debugging, and performance optimization. Mentor enginee

Opportunity Get Well is looking for an experienced Senior Software Engineer to join our healthcare technology team and build next-generation, cloud-native and on-premise environment healthcare applications. You will play a key role in designing, developing, and deploying scalable, secure, and high-performance solutions that enable healthcare organizations to deliver better patient outcomes. The ideal candidate is passionate about software engineering, cloud technologies, AI-driven development, and healthcare interoperability standards. You will collaborate with cross-functional teams to build innovative products that meet healthcare compliance, security, and regulatory requirements. Key Responsibilities Design, develop, and maintain scalable cloud-native and on-premise environments, using modern software engineering practices. Build and enhance distributed microservices-based systems with high availability, performance, and security. Develop RESTful APIs and enterprise-grade backend services. Build responsive and modern user interfaces using contemporary frontend frameworks. Design and implement containerized applications using Docker and Kubernetes. Work with messaging systems and distributed event-driven architectures. Develop AI-powered applications leveraging Large Language Models (LLMs) Utilize AI-assisted development tools to improve engineering productivity and software quality. Build secure, compliant software aligned with healthcare regulations and industry best practices. Design and implement CI/CD pipelines and participate in DevOps initiatives. Collaborate closely with product managers, architects, QA engineers, and clinical domain experts. Integrate healthcare applications with industry interoperability standards including HL7, FHIR, and CDA. Participate in architecture discussions, code reviews, mentoring, and continuous improvement initiatives. Required Qualifications Bachelor's or Master's degree in Computer Science or related technical discipline. 5

Join Delphi - Where Innovation meets transformation At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well-being while driving transformative results for our clients. We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics , transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future. About the Role: Senior Consultant – Business Analyst We’re seeking a strategic, AI-savvy Product Leader with strong business and technical acumen. This person will own the product roadmap, drive vision, translate complex problems into actionable requirements, lead cross-functional teams, and deliver high-impact, data-driven solutions aligned with business goals. Additional Requirements: • Educational Background: Candidate must have a Computer Science degree + MBA. • Cloud Exposure: Must have been involved in projects built on cloud platforms, preferably Microsoft Azure. • Domain Exposure: Healthcare industry background is highly preferred. Key Responsibilities • Own and continuously refine the product backlog and roadmap; prioritize initiatives based on strategic value, risk, dependencies, and measurable outcomes. • Drive and communicate product vision, strategy, and suc

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role As a Forward Deployed Engineer for Implementation Partners at DevRev, you will be the technical bridge between DevRev, our implementation partners, and their customers. You will combine strong software engineering, systems integration, applied AI, and customer-facing problem solving to help partners successfully design, build, deploy, and scale solutions on the DevRev platform. This is not a traditional software engineering role. You will operate at the intersection of engineering, solution architecture, partner enablement, product expertise, and delivery . You will work directly with partners and customers to understand requirements, scope solutions, unblock implementations, and translate complex business workflows into AI agents, integrations, automations, and repeatable vertical solutions. You will own the technical partner journey end to end — from onboarding, enablement, and certification through solutioning, implementation delivery, technical adoption, and ongoing partner success. At the same time, you will build reusable internal tools, frameworks, playbooks, and product capabilities that allow DevRev and its partners to scale across multiple implementations. Success in this role requires strong techn