Job Summary We are looking for a skilled Frontend Engineer proficient in ReactJS and TypeScript to join our growing team. As a Frontend Engineer, you will be responsible for building and optimizing dynamic, user-friendly web applications that power AI-driven products. You will work closely with backend engineers, designers, and AI/ML teams to create intuitive and scalable user interfaces. Key Responsibilities Develop, optimize, and maintain scalable web applications using ReactJS and TypeScript . Build and integrate reusable components and frontend libraries for future use. Work closely with backend engineers to consume and build APIs efficiently. Ensure application performance, responsiveness, and cross-browser compatibility. Implement best practices for UI/UX, accessibility, and responsive design. Maintain high-quality code through unit testing, code reviews, and adherence to coding standards. Collaborate with designers and product teams to create seamless user experiences. Continuously improve frontend architecture, performance, and maintainability. Must-Have Skills and Qualifications Educational Background: Bachelors degree in Computer Science, Engineering, or related field (2024/2025 graduates). Frontend Development: Strong proficiency in ReactJS and TypeScript . State Management: Experience with React Query, Redux, or Context API . API Integration: Hands-on experience in integrating and building RESTful APIs. UI/UX Best Practices: Understanding of responsive design, performance optimization, and accessibility. Version Control: Familiarity with Git and version control workflows. Problem Solving: Strong analytical and debugging skills. Soft Skills: Excellent communication, teamwork, and problem-solving abilities. Good to Have Experience with Next.js or other React frameworks. Familiarity with component libraries like Material-UI, TailwindCSS, or Chakra UI . Exposure to Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure) . Experience with CI/CD pipelines for frontend applications. Contributions to open-source projects or a strong GitHub portfolio showcasing frontend work. Made with

Job Summary We are looking for a skilled Backend Engineer proficient in Python with a strong foundation in AI/ML to join our growing team. As a Backend Engineer, your primary focus will be designing and developing high-performance, low-latency backend systems that serve AI-driven applications, including LLMs, retrieval-augmented generation (RAG), and deep learning models . You will work on model training, fine-tuning, quantization (QLoRA), reinforcement learning (DPO), and efficient deployment of LLMs , ensuring reliability, scalability, and cost efficiency. Key Responsibilities Backend Development : Design, develop, and maintain scalable and efficient backend applications and RESTful services using Python and FastAPI . AI & Model Engineering : Work on training, fine-tuning, and optimizing LLMs for non-standard tasks , including low-latency inference, quantization (QLoRA), and LoRA fine-tuning . Retrieval-Augmented Generation (RAG) : Develop and optimize AI-driven retrieval systems , integrating knowledge bases with LLMs to enhance response accuracy. Model Deployment & Performance Optimization : Deploy and manage AI models in production environments , focusing on scalability, efficiency, and cost reduction . Data Pipelines & Orchestration : Develop and manage data pipelines to facilitate efficient training and inference workflows. Reliability & Scalability : Ensure backend services and AI models run with high availability, fault tolerance, and minimal latency . DevOps & MLOps Integration : Implement CI/CD pipelines, containerized deployments (Docker, Kubernetes), and version-controlled model training workflows . Collaboration : Work closely with AI researchers, data scientists, and ML engineers to integrate cutting-edge AI advancements into production systems. Must-Have Skills and Qualifications Educational Background : Bachelors degree in Computer Science, Engineering, or related field (2024/2025 graduates) . Programming Foundation : Strong understanding of programming concepts with proficiency in Python . Web Technologies : Experience in building RESTful APIs and working with FastAPI, Flask, or Django . Database Knowledge : Familiarity with SQL and NoSQL databases for structured and unstructured data management. Deep Learning & LLMs : Hands-on experience with deep learning frameworks (TensorFlow, PyTorch). Experience in training, fine-tuning, and deploying LLMs for AI applications. Understanding of LoRA, QLoRA, and other fine-tuning techniques . Experience working on low-latency, quantized AI models . Experience with Direct Preference Optimization (DPO) for model alignment . Experience with RAG Systems : Prior exposure to retrieval-augmented generation (RAG) architectures and building AI-driven retrieval systems. Version Control : Strong understanding of Git and best practices in version control . Problem Solving : Strong analytical and debugging skills . Soft Skills : Excellent communication, teamwork, and problem-solving abilities . Good to Have Backend Projects : Academic or personal projects involving backend development and AI model integration . Cloud Exposure : Basic understanding of cloud platforms (AWS, GCP, Azure). Development Tools : Familiarity with Linux/Unix environments, containerization (Docker, Kubernetes), and serverless architectures . CI/CD & MLOps : Experience setting up CI/CD pipelines for automated model training, testing, and deployment . Open Source Contributions : Strong GitHub portfolio or contributions to open-source AI/ML projects .

Reasoning AI - Front End Full Time Engineering Bengaluru, Karnataka, India Senior Frontend Engineer - Sarvam AI About Job The Sarvam AI Reasoning team is seeking a talented Senior Frontend Engineer to join our engineering organization. In this role, youll be responsible for building high-performance web applications that provide intuitive interfaces to our AI reasoning capabilities. Youll work with React, TypeScript, and Next.js to create scalable frontend architecture that delivers exceptional user experiences. Your expertise will be instrumental in developing modular, maintainable applications that effectively showcase our AI platforms capabilities while ensuring optimal performance and accessibility. This position offers the opportunity to shape how users interact with Indias sovereign AI platform. We seek candidates with strong expertise in modern frontend technologies and architecture who can demonstrate technical excellence in building scalable web applications with a focus on performance and user experience. Skills & Qualification Bachelors/Masters Degree in Computer Science or related field from a top-tier institution 3-5 years of experience in Frontend Engineering with focus on React ecosystems Demonstrated expertise in TypeScript, React, and Next.js development Strong experience with monorepo architectures, particularly Turborepo Proficiency in frontend performance optimization techniques Knowledge of accessibility standards and SEO best practices Experience designing and implementing reusable component systems Understanding of testing methodologies for frontend applications Familiarity with CDN deployments and global distribution strategies Strong problem-solving skills and attention to detail Excellent communication and collaboration abilities Responsibilities Develop Scalable Frontend Applications Build high-performance React, TypeScript, and Next.js applications with a focus on modularity and maintainability Optimize Frontend Architecture Implement monorepo structures (Turborepo) and shared components to streamline development across multiple applications Enhance Performance & UX Ensure SEO, accessibility (a11y), and performance optimizations while collaborating with UX/UI designers on reusable design systems Testing & Deployment Write and maintain unit/integration tests and deploy applications globally via CDNs for optimal performance Monitoring & API Integration Integrate APIs efficiently and ensure observability through logging, error tracking, and performance monitoring tools Collaborate with backend teams to design and implement effective API integration strategies Research and evaluate new frontend technologies to continuously improve our technology stack Mentor junior engineers on frontend best practices and architecture principles Contribute to technical documentation for frontend systems and components Made with

Business Development Representative Full Time Sales Bengaluru, Karnataka, India About The Role We are seeking a highly motivated Business Development Representative (BDR/SDR) to drive outbound prospecting efforts, engage with key decision-makers, and generate qualified leads. In this role, you will be responsible for cold calling, email outreach, and LinkedIn campaigns to identify and nurture new business opportunities. You will need to excel in cold calling, confidently engaging industry leaders and driving revenue through meaningful, high-impact conversations. A strong grasp of the Sarvam stack will enable you to translate complex concepts into valuable solutions for forward-thinking enterprise teams. Your expertise in strategic messaging will allow you to craft compelling outreach via email and LinkedIn, ensuring you connect with the right decision-makers. Beyond generating leads, your ability to build lasting relationships will help establish trust and guide industry leaders toward data-driven success. Responsibilities Prospect and qualify leads through cold calls, emails, and social outreach, ensuring a steady pipeline of high-potential opportunities. Engage with industry leaders to understand their pain points and strategically position our solutions as effective, scalable answers. Collaborate with Account Executives to align on strategies, prioritize outreach efforts, and accelerate pipeline growth through targeted prospecting. Conduct initial discovery calls to assess prospect needs, qualify leads, and guide them seamlessly through the evaluation process. Maintain accurate records in CRM tools, tracking interactions, analyzing trends, and providing valuable insights for continuous improvement. Work closely with marketing to refine outreach strategies, optimize campaigns, and improve messaging for higher engagement rates. Skills & Qualification 3-5 years of experience , including at least 2 years in a SaaS-based BDR/SDR role, demonstrating strong sales acumen. Proven track record of successfully cold-calling and converting enterprise decision-makers into high-value business opportunities. Strong communication skills with the ability to engage prospects, build rapport, and foster long-term client relationships. Made with

Forward Deployed Engineer - RAG and ML specialist Full Time Engineering Bengaluru, Karnataka, India About The Role As a Forward Deployed Engineer, at Sarvam, you ll build and deploy AI-powered solutions for real-world business problems. You ll work directly with customers to understand their challenges, develop technical solutions using Sarvam s platform, and take them from concept to production. This role sits between engineering, product, and customer success, meaning you ll need to make smart trade-offs about what to build, how to build it, and where AI can add the most value. Expect to work across the full stack, iterate fast, and adapt to new industries and technologies. Key Responsibilities Own & drive AI solution stacks in industries like collections, customer support, and sales enablement Serve as the technical bridge between customer needs and Sarvam s AI platform Make strategic product & engineering decisions: what to build, how to build, and what not to build Design, develop, and deploy full-stack applications using Sarvam s APIs Work hands-on with customers to understand challenges & translate them into technical solutions Lead demos & pre-sales activities with enterprise prospects and partners Collaborate with product teams to refine Sarvam s platform based on real-world feedback What we re looking for Technical generalist with strong software engineering fundamentals Holistic thinker who focuses on solutions, not just implementation details Strong Python skills & hands-on experience with REST APIs 1-5 years of experience in software development, preferably in AI-powered applications Comfortable working across the full stack, with a bias for action Ability to prioritize, problem-solve, and navigate ambiguity Strong communicator who can translate between business needs & technical execution Experience working directly with customers & delivering impactful solutions Why This Role Is Different This role isnt just about executing tasks or being confined to a specific technical domain. It spans the gamut of customer needs, technical possibilities, and business value, enabling informed decisions on what solutions to build. Youll have the autonomy to shape and own an entire vertical while leveraging Sarvams cutting-edge technology, network, and resources. Made with

Machine Learning Engineer - Speech AI (ASR & TTS) (2-3 years) Full Time Engineering Bengaluru, Karnataka, India Company Overview Sarvam.ai is a pioneering generative AI startup headquartered in Bengaluru, India. We are dedicated to leading transformative research and development in speech and language technologies . With a focus on building state-of-the-art ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) models , particularly for Indic languages , Sarvam.ai aims to redefine human-computer interaction through cutting-edge AI-driven speech solutions. Join us in pushing the boundaries of Speech AI to create inclusive, scalable, and intelligent voice-based applications for diverse communities worldwide. Job Summary We are looking for an experienced Machine Learning Engineer specializing in Speech AI (ASR & TTS) to develop and optimize speech recognition and synthesis models . This role involves working on deep learning-based ASR and TTS models , improving accuracy, efficiency, and multilingual capabilities , and deploying them at scale. The ideal candidate should have 2-3 years of experience working with speech processing, deep learning, and optimization of ASR/TTS models , along with proficiency in ML frameworks like PyTorch or TensorFlow . Key Responsibilities ASR (Automatic Speech Recognition) Develop, train, and optimize speech-to-text models using architectures like Wav2Vec, Whisper, Conformer, and DeepSpeech . Implement techniques for low-latency ASR inference , including beam search, LM integration, and real-time transcription . Improve speech recognition accuracy for low-resource and Indic languages using transfer learning and data augmentation. Optimize ASR pipelines for noise robustness, speaker adaptation, and domain-specific transcription . TTS (Text-to-Speech) Develop and fine-tune neural TTS models such as Tacotron, FastSpeech, VITS, or WaveNet for high-quality, natural-sounding speech synthesis . Implement multilingual and expressive TTS models with prosody and emotion control. Optimize TTS inference for deployment on edge devices, mobile, and cloud platforms . Improve speech synthesis quality through techniques like voice cloning, neural vocoders (HiFi-GAN, WaveGlow), and prosody modeling . General Speech AI Responsibilities Benchmark and profile ASR/TTS models to improve latency, efficiency, and deployment performance . Deploy scalable speech AI APIs on AWS, Azure, or GCP for real-world applications. Optimize ASR & TTS models for edge and offline inference . Stay updated with advancements in speech AI, neural vocoders, and real-time inference techniques . Must-Have Qualifications Experience: 2-3 years in speech AI, deep learning, or machine learning , focusing on ASR & TTS . Education: Bachelors or Master s degree in Computer Science, AI/ML, Speech Processing , or a related field. ML Frameworks: Proficiency in PyTorch or TensorFlow for training and deploying ASR/TTS models . ASR Expertise: Experience with speech-to-text architectures like Whisper, Wav2Vec, Conformer, or DeepSpeech . TTS Expertise: Experience with speech synthesis models like Tacotron, FastSpeech, or VITS . Speech Signal Processing: Understanding of MFCCs, STFT, phonemes, prosody modeling, and feature extraction . Inference Optimization: Hands-on experience with TensorRT, ONNX, or quantization (INT8, FP16) for ASR/TTS . Cloud & Edge Deployment: Experience deploying speech models on AWS, GCP, or Azure . Preferred Qualifications Experience with speech diarization, speaker recognition, or language modeling for ASR . Familiarity with zero-shot TTS, voice cloning, and multilingual speech modeling . Understanding of CUDA optimization and low-bit quantization for ASR/TTS models . Contributions to open-source speech AI projects or a strong GitHub portfolio . Experience with real-time streaming ASR/TTS applications and low-latency inference . Application Process Interested candidates are invited to submit their resume, cover letter, and any relevant project portfolios or GitHub links showcasing their experience in ASR, TTS, or Speech AI . Strong AI-related projects whether in industry, research, or personal work will be highly valued. Made with

Machine Learning Engineer - Inference (2-3 years) Full Time Engineering Bengaluru, Karnataka, India Company Overview Sarvam.ai is a pioneering generative AI startup headquartered in Bengaluru, India. We are dedicated to leading transformative research and development in the field of language technologies. With a focus on building scalable and efficient Large Language Models (LLMs) that support a wide range of languages, particularly Indic languages , Sarvam.ai aims to reimagine human-computer interaction and build novel AI-driven solutions. Join us as we push the boundaries of AI to create more inclusive and intelligent language processing tools for diverse communities worldwide. Job Summary We are looking for an experienced Machine Learning Engineer specializing in model inference and optimization to join our team. This role focuses on improving the efficiency and scalability of LLMs in production , including model deployment, quantization, and inference acceleration. The ideal candidate will have 2-3 years of experience working with ML frameworks such as PyTorch or TensorFlow , a deep understanding of neural network architectures , and a strong interest in LLM inference optimization . Key Responsibilities Research and implement model optimization techniques for LLMs, including quantization, pruning, distillation, and efficient fine-tuning . Develop and optimize LLM inference pipelines to improve latency and efficiency across CPU/GPU/TPU environments. Benchmark and profile models to identify performance bottlenecks and implement solutions for inference acceleration. Deploy scalable and efficient LLM inference solutions on cloud and on-prem infrastructures. Work with cross-functional teams to integrate optimized models into production systems . Stay up-to-date with the latest advancements in LLM inference, distributed computing, and AI hardware accelerators . Maintain and improve code quality, documentation, and experiment tracking for continuous development. Must-Have Qualifications Experience: 2-3 years in ML engineering, with a focus on model inference and optimization . Education: Bachelors or Master s degree in Computer Science, AI/ML, Data Science , or a related field. ML Frameworks: Proficiency in PyTorch or TensorFlow for model training and deployment. Model Optimization: Hands-on experience with quantization (INT8, FP16), pruning, and knowledge distillation . Inference Acceleration: Experience with ONNX, TensorRT, DeepSpeed, or Hugging Face Optimum for optimizing inference workloads. Cloud & Deployment: Experience deploying ML models on AWS, Azure, or GCP using cloud-native ML tools. Profiling & Benchmarking: Familiarity with NVIDIA Nsight, PyTorch Profiler, or TensorBoard for analyzing model performance. Problem-Solving: Strong analytical skills to troubleshoot ML model efficiency and deployment challenges . Preferred Qualifications Experience with distributed training and inference frameworks (e.g., vLLM, DeepSpeed, FSDP). Understanding of GPU/TPU optimizations , CUDA programming, or low-level ML hardware acceleration. Familiarity with edge and offline model deployment strategies. Contributions to open-source projects related to ML inference, LLMs, or optimization. Made with

Senior Product Marketing Manager Full Time Marketing Bengaluru, Karnataka, India About The Role We re looking for a Product Marketing Manager who is both a strategist and a doer, someone who can shape how we take our product to market, refine messaging, and drive adoption. You will own how we position ourselves, launch new features, and make self-serve and product-led growth (PLG) a success. If you love translating complex ideas into clear, compelling narratives that resonate with enterprise teams, this role is for you. Sitting at the intersection of product, sales, and marketing, you will ensure our value is communicated effectively across every touchpoint. You will equip sales teams with the right messaging, materials, and training to close deals with confidence. Beyond just creating content, you will take ownership of demos, videos, and collateral that bring our differentiators to life. Responsibilities Go-To-Market Ownership Define and execute GTM strategies for new features, product launches, and expansion initiatives. Self-Serve & PLG Growth Drive the success of self-serve and PLG adoption by optimizing onboarding, messaging, and in-product education. Sales Enablement Develop and maintain sales collateral, including pitch decks, one-pagers, demo scripts, and competitive battle cards. Content & Messaging Craft compelling narratives that clearly articulate product value across all customer touchpoints, ensuring consistency. Demo & Video Creation Own the production of engaging product demos, explainer videos, and customer-facing assets to drive adoption. Market & Competitive Intelligence Continuously analyze industry trends, competitors, and customer feedback to refine positioning and differentiation. Cross-Functional Collaboration Work closely with product, growth, and customer success teams to ensure alignment in messaging and execution. Skills & Qualification 3-5 years of experience in Product Marketing within a SaaS or PLG-focused company. Proven track record of crafting effective go-to-market strategies and sales enablement content. Strong ability to distill technical concepts into compelling messaging for various audiences. Experience collaborating with product, sales, and marketing teams to drive measurable outcomes. Exceptional communication and storytelling skills, with the ability to create high-impact content. Made with

Job Summary We are looking for an experienced React Native Frontend Engineer to join our growing team. As part of our mobile initiative, you will be responsible for transforming our existing web application into a high-performance, native mobile experience. The ideal candidate is a hands-on developer who has not only built mobile applications but has successfully taken them from concept to deployment in app stores. You will work closely with our design, backend, and AI/ML teams to create intuitive and scalable mobile interfaces that deliver our AI-powered solutions to users across India. Key Responsibilities Develop and maintain a production-quality React Native mobile application that extends our existing Next.js web platform Lead the migration of functionality from our Next.js web application to the React Native mobile application, ensuring feature parity and consistent user experience Build polished, pixel-perfect UIs with smooth animations and transitions that feel truly native across both iOS and Android Architect and implement state management solutions and data flow patterns optimized for mobile performance Create reusable components and libraries to establish a consistent mobile design system Integrate with RESTful APIs and handle complex data synchronization between online and offline states Optimize application performance, responsiveness, and startup time across a variety of devices and network conditions Implement rigorous testing strategies including unit tests, integration tests, and end-to-end tests Deploy and manage app releases to Google Play Store and Apple App Store, including CI/CD workflows Diagnose and resolve bugs, crashes, and performance bottlenecks through methodical debugging Collaborate with cross-functional teams to design and implement new features that align with product goals Stay updated with the latest trends and best practices in React Native development and mobile app technologies Mentor junior developers and contribute to establishing mobile development standards Must-Have Skills and Qualifications Educational Background: Bachelors degree in Computer Science, Engineering, or related field Professional Experience: 1-3 years of hands-on experience with React Native development Deployment Experience: Demonstrated track record of publishing and maintaining applications on both Google Play Store and Apple App Store JavaScript Expertise: Strong proficiency in modern JavaScript (ES6+) and TypeScript React Native Proficiency: Deep understanding of React Native architecture, component lifecycle, and navigation patterns State Management: Experience with Redux, MobX, React Query, or similar state management solutions in a mobile context Native Module Integration: Ability to integrate with native modules and third-party SDKs when necessary Mobile UX Knowledge: Strong understanding of mobile UI/UX patterns, accessibility standards, and platform-specific design guidelines Offline Capabilities: Experience implementing offline-first strategies with solutions like SQLite, Realm, or AsyncStorage Testing: Proficiency with Jest, Detox, or other testing frameworks for React Native Version Control: Advanced Git skills including branching strategies and collaborative workflows Problem-Solving: Exceptional debugging and analytical skills with a methodical approach to troubleshooting Self-Directed Learning: Proven ability to independently research and implement new technologies Good to Have Experience with Expo ecosystem and its managed and bare workflows Background in web development with React.js and Next.js Familiarity with TypeScript in large-scale applications Experience with React Native performance optimization techniques Knowledge of native iOS (Swift/Objective-C) and/or Android (Java/Kotlin) development Contributions to open-source React Native projects or libraries Experience with GraphQL and Apollo Client in React Native Familiarity with CI/CD tools like Fastlane, Bitrise, or GitHub Actions for mobile deployments Understanding of app analytics, crash reporting, and monitoring tools Experience with A/B testing and feature flagging in mobile environments Knowledge of app security best practices and common vulnerabilities Portfolio Requirements Required: Links to at least 1/2 published mobile apps youve significantly contributed to (please specify your role and contributions) Preferred: GitHub profile or code samples demonstrating React Native expertise Bonus: Personal projects, hackathon entries, or side projects that showcase your passion for mobile development Why Join Us? Opportunity to build cutting-edge mobile experiences powered by generative AI Work on products that will impact millions of users across India Collaborative, engineering-focused culture that values technical excellence Autonomy to make significant technical decisions and influence our mobile strategy Competitive compensation and benefits package Growth opportunities in a rapidly expanding startup At , we believe in empowering engineers who not only write great code but also ship great products. If you have a builders mindset and are passionate about creating mobile experiences that delight users, we want to hear from you! Made with

Reasoning AI - Product Manager Full Time Product Bengaluru, Karnataka, India Product Manager - Sarvam AI About Job The Sarvam AI Reasoning team is building sophisticated reasoning capabilities for Indias first sovereign AI platform. We are seeking a talented Product Manager to join our engineering team. In this role, youll be responsible for defining the vision and strategy for our AI platform products, with a focus on GenAI applications and connectors. Youll work closely with engineering teams to understand complex system architectures while maintaining a deep customer obsession that drives product decisions. Your expertise will be instrumental in translating customer needs into scalable product features that showcase our AI reasoning capabilities and drive adoption across the Indian market. This position offers the opportunity to shape product strategy for Indias sovereign AI platform. We seek candidates with strong technical backgrounds who have successfully delivered large-scale B2C applications and can demonstrate excellence in building products at the intersection of cutting-edge AI technology and user needs. Skills & Qualification Bachelors/Masters Degree from a top-tier institution 3-7 years of product management experience with a focus on technical products Demonstrated expertise in delivering large B2C applications at scale Strong familiarity with Generative AI technologies and their applications Technical understanding of system architectures and integration patterns Proven track record of customer-obsessed product development Experience working with engineering teams on complex technical products Strong analytical skills and data-driven decision making Excellent communication and cross-functional collaboration abilities Experience with API platforms and connector ecosystems is a plus Responsibilities Drive product vision and strategy for components of our AI reasoning platform Translate customer needs into product requirements that deliver value at scale Work closely with engineering teams to understand technical architecture and constraints Define and implement connector strategies for integrating with third-party systems Analyze user behavior and feedback to continuously improve product offerings Prioritize product backlog based on customer impact and strategic objectives Collaborate with design teams to create intuitive user experiences Develop go-to-market strategies for new product features Monitor product metrics and key performance indicators Stay current with GenAI advancements and competitive landscape Serve as the voice of the customer throughout the product development lifecycle Communicate product plans and progress to stakeholders across the organization Made with

Product Manager - Sarvam AI About Job The Sarvam AI Reasoning team is building sophisticated reasoning capabilities for Indias first sovereign AI platform. We are seeking a talented Product Manager to join our engineering team. In this role, youll be responsible for developing and executing comprehensive GTM strategies that showcase the value of our AI reasoning platform to enterprise and government sectors. Youll work closely with product, engineering, and sales teams to translate technical capabilities into compelling market positioning and customer acquisition strategies. Your expertise will be crucial in accelerating the growth trajectory of our reasoning products as we build Indias sovereign AI platform. This position offers the opportunity to shape the market presence of cutting-edge AI reasoning technology built specifically for Indian organizations. We seek candidates with strong consulting or startup experience who can demonstrate excellence in strategic planning and market development for sophisticated technology products. Skills & Qualification Bachelors/Masters Degree from a top-tier institution 3-5 years of experience in strategic roles Top-tier consulting experience or startup experience (founders office/GTM roles) preferred Experience in product delivery or customer success is a bonus Background in scaling B2C applications highly valued Strong understanding of enterprise and government sectors Excellent analytical and strategic thinking capabilities Superior communication and presentation skills Ability to translate technical capabilities into business value propositions Experience with AI/ML product positioning is a plus Responsibilities Develop and execute comprehensive GTM strategies for our reasoning products Create compelling positioning and messaging that differentiates our AI reasoning capabilities Build go-to-market playbooks for different customer segments and use cases Collaborate with product teams to ensure product roadmaps align with market needs Work with sales teams to develop effective sales enablement materials and processes Analyze market trends and competitive landscape to identify growth opportunities Define success metrics and track GTM performance Lead cross-functional initiatives to accelerate market adoption Develop strategic partnerships to expand market reach Gather and synthesize customer feedback to inform product and GTM strategies Create thought leadership content to establish market authority Present to executive stakeholders on GTM progress and strategic initiatives Made with

Senior Account Executive - Acquisition Full Time Sales Bengaluru, Karnataka, India About The Role We are looking for a Senior Account Executive - Acquisition who thrives on building relationships, closing complex deals, and driving revenue growth. In this role, you will own the full sales cycle, from identifying and engaging high-potential prospects to negotiating and closing enterprise-level deals. Your ability to connect with key decision-makers, understand their business challenges, and position our solutions as strategic, high-impact investments will be critical to your success. You will excel in leading high-value conversations, uncovering pain points, and crafting tailored solutions that resonate with forward-thinking enterprise teams. A strong understanding of the Sarvam stack will enable you to translate technical capabilities into clear, compelling business value. Beyond closing deals, your ability to foster long-term partnerships will help establish trust, drive customer success, and contribute to our sustained growth. Responsibilities Own the full sales cycle, from prospecting and initial engagement to negotiation and deal closure. Develop and execute strategic outbound and inbound sales efforts to identify, nurture, and convert high-value enterprise opportunities. Engage with C-level executives and decision-makers, building strong relationships and positioning our solutions as essential to their success. Lead in-depth discovery conversations to uncover business needs, challenges, and opportunities for value creation. Collaborate closely with BDRs/SDRs, marketing, and product teams to refine messaging, optimize outreach, and accelerate sales cycles. Maintain a strong CRM discipline, tracking pipeline metrics, forecasting revenue, and optimizing sales strategies based on data-driven insights. Act as a trusted advisor to prospects and customers, ensuring seamless handovers to customer success and long-term engagement. Skills & Qualification 5+ years of experience in SaaS sales, with a strong track record in closing enterprise-level deals. Proven ability to drive acquisition and win high-value business opportunities. Exceptional communication and negotiation skills, with the ability to engage and influence executive stakeholders. Experience leading complex sales cycles, from prospecting to contract execution. Strong business acumen, with a deep understanding of enterprise buying behavior and decision-making processes. A strategic mindset, with the ability to think creatively about customer challenges and position our solutions as game-changers. Made with

Job Summary We are looking for a Backend Engineer proficient in Python with experience in Azure, GCP, and AWS . You will be responsible for designing, developing, and optimizing scalable backend services, APIs, and cloud-native applications that power AI-driven products. This role requires expertise in cloud platforms, database optimization, and high-performance computing for AI workloads. Key Responsibilities Design, develop, and maintain scalable and efficient backend services using Python and FastAPI/Flask/Django . Build and optimize RESTful APIs and microservices for AI-driven applications. Deploy and manage backend applications across Azure, GCP, and AWS with a cloud-agnostic approach. Work with serverless architectures (AWS Lambda, Google Cloud Functions, Azure Functions) for cost-effective and scalable solutions. Optimize database performance (SQL and NoSQL) and manage cloud-native databases like PostgreSQL, Firestore, DynamoDB, CosmosDB . Implement secure authentication and authorization using OAuth, JWT, or API gateways. Develop event-driven and streaming architectures using Kafka, Pub/Sub, or Event Grid. Ensure high availability, scalability, and security of backend services using cloud-native best practices. Set up CI/CD pipelines and automated deployments across multiple cloud environments. Work closely with AI/ML engineers, DevOps, and frontend teams to integrate backend services into AI-powered products. Must-Have Skills and Qualifications Educational Background: Bachelors degree in Computer Science, Engineering, or related field (2024/2025 graduates). Programming & Backend Development: Strong proficiency in Python and experience with FastAPI, Flask, or Django . Cloud Expertise: Hands-on experience with Azure, GCP, and AWS , including deploying and managing backend services. Database Management: Experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB, Firestore) databases. API Development: Experience in building secure, scalable APIs and integrating with third-party services. CI/CD & DevOps: Experience setting up CI/CD pipelines (GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps) . Containerization & Orchestration: Familiarity with Docker, Kubernetes, and cloud-native deployments . Security & Compliance: Understanding of API security, IAM roles, and cloud security best practices . Version Control & Collaboration: Proficiency in Git and working with agile development teams . Good to Have Experience with GraphQL and event-driven architectures. Familiarity with Cloud AI/ML services (Vertex AI, SageMaker, Azure AI). Exposure to message queues (Kafka, Pub/Sub, SQS). Contributions to open-source projects or a strong GitHub portfolio showcasing backend development work. Made with

We are looking for a skilled Backend Engineer proficient in Python to join our growing team. As a Backend Engineer, your primary focus will be designing and developing server-side logic, APIs, and platform orchestration for serving voice and AI-driven applications while ensuring high performance, scalability, and security. Key Responsibilities: Design, develop, and maintain scalable and efficient backend applications and RESTful services using Python and FastAPI. Implement and optimize Retrieval-Augmented Generation (RAG) systems for AI applications. Develop and manage data pipelines and orchestration workflows for AI and ML models. Ensure adherence to good coding practices, including writing modular code, implementing unit tests, and conducting code reviews. Collaborate with AI/ML engineers, data scientists, and cross-functional teams to build and deploy machine learning models into production systems. Optimize database queries and manage structured and unstructured data efficiently. Continuously integrate and deploy code using version control practices and CI/CD pipelines. Contribute to architectural discussions, performance optimization, and scalability improvements. Must-Have Skills and Qualifications: Educational Background: Bachelors degree in Computer Science, Engineering, or related field (2024/2025 graduates). Programming Foundation: Strong understanding of programming concepts with strong proficiency in Python. Web Technologies: Experience in building RESTful APIs and working with FastAPI, Flask, or Django. Database Knowledge: Familiarity with database concepts, SQL operations, and NoSQL databases. Machine Learning & AI Exposure: Hands-on experience with Machine Learning and Deep Learning techniques, and understanding of AI model deployment. Experience with RAG Systems: Prior exposure to Retrieval-Augmented Generation (RAG) architectures and building AI-driven search or retrieval systems. Version Control: Good understanding of Git and version control principles. Problem Solving: Strong analytical and debugging skills. Soft Skills: Excellent communication, teamwork, and problem-solving abilities. Good to Have: Backend Projects: Academic or personal projects involving backend development using Python frameworks (FastAPI, Flask, Django). Cloud Exposure: Basic understanding of cloud concepts and services (AWS, GCP, Azure). Development Tools: Familiarity with Linux/Unix environments and containerization concepts (Docker, Kubernetes). CI/CD: Experience with setting up CI/CD pipelines for automated testing and deployment. Open Source: Contributions to open-source projects or a strong GitHub portfolio showcasing backend development. Made with

Job Summary: We are looking for a skilled Backend Engineer proficient in Python to join our growing team. As a Backend Engineer, your primary focus will be designing and developing server-side logic, APIs, and platform orchestration for serving voice and AI-driven applications while ensuring high performance, scalability, and security. Key Responsibilities: Design, develop, and maintain scalable and efficient backend applications and RESTful services using Python and FastAPI. Implement and optimize Retrieval-Augmented Generation (RAG) systems for AI applications. Develop and manage data pipelines and orchestration workflows for AI and ML models. Ensure adherence to good coding practices, including writing modular code, implementing unit tests, and conducting code reviews. Collaborate with AI/ML engineers, data scientists, and cross-functional teams to build and deploy machine learning models into production systems. Optimize database queries and manage structured and unstructured data efficiently. Continuously integrate and deploy code using version control practices and CI/CD pipelines. Contribute to architectural discussions, performance optimization, and scalability improvements. Must-Have Skills and Qualifications: Educational Background: Bachelors degree in Computer Science, Engineering, or related field (2024/2025 graduates). Programming Foundation: Strong understanding of programming concepts with strong proficiency in Python. Web Technologies: Experience in building RESTful APIs and working with FastAPI, Flask, or Django. Database Knowledge: Familiarity with database concepts, SQL operations, and NoSQL databases. Machine Learning & AI Exposure: Hands-on experience with Machine Learning and Deep Learning techniques, and understanding of AI model deployment. Experience with RAG Systems: Prior exposure to Retrieval-Augmented Generation (RAG) architectures and building AI-driven search or retrieval systems. Version Control: Good understanding of Git and version control principles. Problem Solving: Strong analytical and debugging skills. Soft Skills: Excellent communication, teamwork, and problem-solving abilities. Good to Have: Backend Projects: Academic or personal projects involving backend development using Python frameworks (FastAPI, Flask, Django). Cloud Exposure: Basic understanding of cloud concepts and services (AWS, GCP, Azure). Development Tools: Familiarity with Linux/Unix environments and containerization concepts (Docker, Kubernetes). CI/CD: Experience with setting up CI/CD pipelines for automated testing and deployment. Open Source: Contributions to open-source projects or a strong GitHub portfolio showcasing backend development. Made with