Full-Time
Agent Engineer
Sarvam
51-200 employees
Full-stack generative AI platform for enterprises
No salary listed
Bengaluru, Karnataka, India
In Person
 Software Engineering (1) |
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- At least 3 years of experience, with demonstrated experience building something real users depended on and maintaining it after launch.
- Experience shipping systems to production and owning them afterward, including operating and fixing them based on real usage.
- Serious experience with large language models and agents, including context engineering, tool use, structured outputs, memory, agentic frameworks, and both open-source and closed-source models.
- Engineering discipline around versioning, testing, regression testing, and reproducibility.
- Ability to define meaningful use-case metrics, build evaluation pipelines, and distinguish signal from noise.
- Strong Python skills and breadth across backend services, data pipelines, application programming interfaces, and cloud infrastructure.
- Ability to learn unfamiliar technology stacks quickly.
- Ability to work directly with a customer's engineering team, understand constraints, explain technical considerations, and reach workable solutions.
- Ability to design systems that remain predictable under real load, are instrumented for visibility, and are structured for maintainability.
- Build production agents on the Sarvam stack, including prompts, system design, workflows, tool integrations, and evaluations.
- Map the scenarios an agent must handle, determine appropriate handling for each, and identify edge cases to establish coverage by design.
- Build proof-of-concept systems quickly when customers need validation before committing to scale.
- Integrate agents with core banking, customer relationship management, ticketing, telephony, and other customer systems.
- Define quality criteria for each use case, build evaluations to measure quality, and improve results until the required metrics are achieved.
- Version agents, review changes, and enforce regression suites so quality does not depend on untracked prompt edits.
- Tune systems for accuracy, cost, reliability, and performance under real load.
- Design scalable and consistent systems that behave reliably across high interaction volumes and provide sufficient instrumentation to reveal quality degradation.
- Adapt proven agent patterns to new customer environments while maintaining speed and quality.
- At senior levels, own technical build playbooks and the technical quality bar for a motion, and bring partner engineers up to that standard.
Sarvam AI builds a full-stack Generative AI platform and research-informed models for enterprise use in India. It combines training of custom large language models and bespoke enterprise models with an enterprise-grade platform for authoring, deployment, and distribution of AI applications. The product works by offering end-to-end tooling: researchers develop and fine-tune models, then enterprises author, deploy, and manage these models within a scalable platform that supports multilingual and diverse Indian business needs. Sarvam AI differentiates itself through its focus on the Indian market, tailoring AI solutions to linguistic diversity and enterprise requirements, and by pairing model development with deployment infrastructure to deliver cost-effective, robust performance for customer deployments. Its goal is to accelerate the adoption of Generative AI in India by making development, deployment, and distribution of AI applications more efficient and affordable for enterprises.
Company Size
51-200
Company Stage
Series B
Total Funding
$275M
Headquarters
Bengaluru, India
Founded
2023
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Simplify's Take
What believers are saying
- Sarvam closed $300 million Series B in August 2026 at $1.5 billion valuation.
- IDFC FIRST Bank, IBM, Maharashtra, and Mahindra Finance expanded deployments in 2026.
- Voice Agents launched with 11-language phone, web, and WhatsApp workflows for enterprises.
What critics are saying
- OpenAI, Google, and Microsoft bundle multilingual agents into cloud contracts by 2027.
- HCLTech, Nvidia, and other strategic investors pressure Sarvam toward services, not product moat.
- If 2026 model releases miss enterprise benchmarks, Sarvam becomes a thin localization layer.
What makes Sarvam unique
- Sarvam self-hosts speech, reasoning, and synthesis inside India, eliminating third-party dependencies.
- Its stack spans models, Voice Agents, and Work Agents for regulated enterprise workflows.
- Sarvam dominates Indic voice with 22-language models and 350 million enterprise conversations.
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Benefits
Hybrid Work Options
Company News
Mahindra Finance and Sarvam expand Voice AI collaboration. September 10, 2026 15:00 IST Mahindra & Mahindra Financial Services Limited ("Mahindra Finance"), one of India's leading financial services providers, has announced an expanded voice AI partnership with Sarvam, the Bengaluru-based sovereign AI company, at Global Fintech Fest (GFF) 2026, where Sarvam is this year's AI Ecosystem Partner. Building on an earlier collaboration, Mahindra Finance has scaled the engagement into one of the largest voice AI deployments in Indian financial services. The Mahindra Group's AI Division (Mahindra AI) has developed voice agents on Sarvam's platform that operate across 12 Indian languages and have completed over one crore calls to date, reaching Mahindra Finance customers in their preferred language, at a time of their choosing. The partnership now spans three areas of Mahindra Finance's business: Sales: Relationship-management voice agents check in with customers and surface cross-sell opportunities across vehicle, tractor, SME, housing, insurance and investment products. Collections: Voice agents support the full lifecycle, from pre-due reminders through to write-off and repossession-stage conversations. Employee engagement: Voice agents gather field-level feedback, giving leadership a more direct line of sight into frontline realities. Strong collaboration between Mahindra AI and Sarvam have led to tangible results at scale for Mahindra Finance. Mahindra AI orchestrated campaigns layered on top of inhouse machine learning models that utilized Sarvam's voice agents to advance Mahindra Finance's sales and collections campaigns translating model-driven predictions into real conversations, at scale, in the customer's own language. Every call is recorded and analysed by custom AI pipelines, feeding a continuous-improvement loop and integrating with downstream systems and activities, including CRM, loan servicing and collections, to turn conversations into action. "Our customers have always trusted us to stay close to them, whether they are in a city or a village. Voice AI has allowed us to extend that closeness at scale reaching people proactively, in their own language." said Raul Rebello, Managing Director & CEO, Mahindra Finance. "As we diversify into new lines of business, this partnership with Sarvam is central to how we scale customer-first financial services across Bharat." "Mahindra Finance has set a strong benchmark for what AI at scale can look like in financial services," said Pratyush Kumar, Co-founder, Sarvam. "More than one crore calls across sales, collections and employee engagement show what becomes possible when AI is deeply embedded into the business and continuously learns from customer outcomes."
Sarvam launches Champions programme for AI creators, here's what you get. Indian AI startup Sarvam has decided to launch a new programme that offers creators and community leaders access to some of its upcoming AI models. Called Sarvam Champions, this programme is designed for users who build projects using the company's tools and help bring local AI communities together. Notably, the programme comes after the Sarvam Epoch 2026 conference, where the startup introduced new AI models, including Vision 2.0 and Bulbul V4. The company has also announced plans to build a flagship AI with more than a trillion parameters. Sarvam Champions is divided into two tracks, Creators and City Leads. Creators are expected to build projects using Sarvam's AI tools and share their work with others. City Leads, meanwhile, will focus on bringing developers and AI builders together through local events and communities. Participants selected for the programme will get early access to Sarvam's upcoming models and products. They will also have opportunities to interact with Sarvam's teams and connect with other builders through a dedicated Champions community. What Will Champion Creators Do? Creators can contribute by making tutorials, technical guides, cookbooks, live coding sessions and build-alongs. They can also showcase projects they have built using Sarvam's technology. Another important part of the role will be providing feedback to Sarvam. The company wants creators to share their experiences and suggestions so that it can improve its products and tools. The second track is designed for people who already run developer or technology communities in their cities. City Leads will be responsible for organising events such as meet-ups, workshops and other community activities. These events will give local builders an opportunity to learn about Sarvam's tools and experiment with its AI technology. Sarvam says it will support approved events by providing funding for expenses such as venues, catering, standees and banners. However, the funding will not cover prize money. City Leads are expected to organise at least one Sarvam-focused event every month. For the Creator track, applicants need to show examples of technical content they have created or projects they have built using Sarvam's tools. Those applying as City Leads need to provide details of a developer community or event they already run. Applicants can also share information about their experience, qualifications and social media profiles. People can apply directly, while nominations from others are also accepted. How To Apply? Interested creators and community leaders can apply for Sarvam Champions through the Sarvam website. The selection process involves four stages, with applicants required to demonstrate their work or community-building experience. For AI builders, the programme could offer an opportunity to get closer to Sarvam's latest technology while also connecting with other people working on AI projects.
TIME100 AI 2026: Meet 10 Indian and Indian-origin names shaping the future of AI. TIME100 AI 2026 features 10 Indian and Indian-origin leaders shaping AI across enterprise technology, science, healthcare, semiconductors, law, safety and AI governance. * Updated Aug 31, 2026, 5:13 PM IST Arvind Krishna: smaller models, bigger enterprise bet The IIT Kanpur graduate and IBM chairman and CEO has taken a different approach to the AI race, focusing on smaller and specialised models for enterprise applications. Krishna has argued that the future of AI will not necessarily belong only to the largest general-purpose models, challenging the industry's focus on scale. Anima Anandkumar: taking AI beyond screens The IIT Madras graduate and Caltech professor works at the intersection of artificial intelligence and science. Her research focuses on using AI to model physical processes, with applications including weather forecasting, semiconductor manufacturing and scientific simulations. Her company, Accelerated Understanding, is focused on using AI to model and understand the physical world. Vivek Raghavan: from Aadhaar to AI After contributing to the technology infrastructure behind Aadhaar, Vivek Raghavan turned his attention to artificial intelligence. As co-founder of Sarvam AI, he is working on AI systems tailored to India's linguistic and cultural diversity, with a focus on building an indigenous AI ecosystem. Utkarsh Saxena: AI enters courtrooms Former Supreme Court law clerk Utkarsh Saxena is applying artificial intelligence to India's judicial system through Adalat AI. The company says its technology has reached more than 6,000 judges across 11 states. The Andhra Pradesh High Court has also announced its adoption across the state's district judiciary from October 2026. Suchi Saria: AI's medical alarm Suchi Saria, founder and CEO of Bayesian Health and a Johns Hopkins professor, is using AI to help identify patients at risk of sepsis. The US FDA cleared the system in May 2026 as an early-warning tool. Johns Hopkins has reported that its use was associated with a nearly 20% reduction in deaths, while an earlier study involving more than 764,000 patient encounters reported an 18.2% relative reduction in mortality. Sanjay Mehrotra: powering the AI infrastructure Indian-origin executive Sanjay Mehrotra, chairman and CEO of Micron Technology, represents the semiconductor and memory side of the AI revolution. Micron's high-bandwidth memory technologies are increasingly important to AI infrastructure, as advanced systems require greater memory capacity and faster data movement. Ravi Kumar S.: AI's workplace reset The Cognizant CEO and former nuclear scientist brings a different perspective to the debate over AI and jobs. Kumar argues that artificial intelligence is likely to change the tasks people perform, rather than simply eliminate entire professions. His focus is increasingly on how workers and organisations can adapt to AI-driven changes. Arvind Raman: testing AI's limits Arvind Raman works on how advanced AI systems should be tested and evaluated. As an Indian-origin technology policy expert and director at NIST, as well as acting head of the US Center for AI Standards and Innovation, he is involved in work around AI standards, evaluation and safety. Sunny Gandhi: the safety push Sunny Gandhi, co-executive director of Encode, represents the policy and advocacy side of the AI debate. His work focuses on safeguards, transparency and meaningful human oversight as increasingly capable AI systems move into sensitive areas such as education, healthcare and government. Meetali Jain: taking AI to court Meetali Jain, founder and executive director of Tech Justice Law, represents the legal accountability side of AI. Her work includes cases and advocacy involving alleged technology-related harms, including claims involving AI systems and chatbots. Her inclusion highlights the growing role of law in determining responsibility when AI systems allegedly cause real-world harm. BUSINESS TODAY MAGAZINE * Latest * Must Read * Market
Sarvam AI co-founder Vivek Raghavan named among TIME's top AI leaders. Sarvam AI co-founder Vivek Raghavan has been named among TIME's 100 most influential AI leaders as the company builds India's sovereign LLM ecosystem. Sarvam AI Co-Founder vivek raghavan Vivek Raghavan, co-founder of Sarvam AI, has been named one of the 100 most influential leaders in artificial intelligence (AI) by TIME Magazine. "This recognition reflects his work over the decades building the rails that make technology more useful and accessible to people," Sarvam wrote in a post on X on Sunday. Sarvam, the Indian frontier model company, is now backed by HCLTech and Nvidia and is currently valued at about $1.5 billion. Sarvam AI was selected by the IndiaAI Mission this year to build the country's first sovereign LLM ecosystem, developing an open-source 120-billion-parameter AI model to enhance governance and public service access through use cases like 2047: Citizen Connect and AI4Pragati. It launched two indigenous large language models earlier this year, specifically trained on Indian languages, as LLM makers compete in one of the world's most linguistically diverse nations.
IndiGo invests ₹30 crore in Sarvam. IndiGo invests ₹30 crore in Bengaluru-based AI startup Sarvam through IndiGo Ventures as part of its Series B funding, aiming to use India-built artificial intelligence for customer experience, employee productivity, operational decision-making, airline operations, innovation and AI-led technology across its network. IndiGo has invested in Bengaluru-based artificial intelligence startup Sarvam as part of its plan to expand the use of AI across its airline operations. The investment was made through IndiGo Ventures, the airline's venture capital arm. The funding is aimed at using advanced AI technology to improve customer experience, employee productivity and operational decision-making. ₹30 crore investment in Sarvam. IndiGo Ventures has committed around ₹30 crore as part of Sarvam's Series B funding round. Sarvam raised around ₹698 crore in the funding round from several investors. IndiGo said the investment builds on its existing relationship with the AI startup. IndiGo Ventures has previously invested in startups working in areas such as aerospace manufacturing and urban mobility. AI focus across airline operations. IndiGo said AI is becoming increasingly important for the aviation industry and can help improve customer services, workforce productivity and operational decisions. Through its partnership with Sarvam, IndiGo plans to explore AI solutions developed in India and adapted to the needs of the aviation sector. The two companies will work on AI applications across customer experience, employee productivity and airline operations. Successful solutions could eventually be expanded across IndiGo's wider network. The partnership is expected to combine Sarvam's AI technology with IndiGo's aviation expertise and large operational network, supporting the airline's broader focus on technology, innovation and AI-led growth.