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About Sarva Labs Inc
About
We at Sarvalabs bring personalization to open networks through full user ownership and complete control of all dimensions of their digital interactions. Sarvalabs is developing The World's First Protocol to bring personalization to Open Networks and enable an Internet for Value Transfer. MOI - MY OWN INTERNET.
MOI enables complete user ownership and control, empowers the New Internet of Value, introduces a new personalised multidimensional value structure for participants measured using TDU (Total Digital Utility), and Integrates context as a foundational computational dimension of p2p networks.
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🚨 We’re Building a “Top 1% Engineering Org”
We’re building a high-talent-density, AI-first R&D organization from scratch — inside a publicly listed company undergoing a full-scale transformation.
Think:
→ Rewriting legacy systems into AI-native architectures
→ Embedding LLMs + Agentic AI into core workflows
→ Reimagining platforms, infra, and data systems for the next decade
This is the kind of shift you’d expect from Google, Microsoft, or Meta —
Except you get to build it from day 0 → scale it globally.
About the Role / Team
We are building a next-generation AI-first R&D organization in Bengaluru, focused on solving complex problems across LLMs, Agentic AI systems, distributed computing, and enterprise-scale architectures.
This initiative is part of a publicly listed global company investing heavily in AI-driven transformation, re-architecting its platforms into intelligent, autonomous systems powered by large language models, workflows, and decision engines.
You will be working on:
- Agentic AI systems & LLM-powered workflows
- Distributed, scalable backend systems
- Enterprise-grade AI platforms
- Automation-first engineering environments
🚀 The Mandate
Own and evolve the technical backbone of an AI-first enterprise platform.
You will define architecture across LLM-powered systems, distributed services, and data platforms — and lead critical transformations from legacy → AI-native systems.
🧩 What You’ll Do
- Architect large-scale distributed systems powering AI-driven workflows
- Lead 0→1 and 1→N platform builds (LLM integrations, agentic systems, orchestration layers)
- Redesign legacy systems into scalable, modular, AI-native architectures
- Drive system design excellence across teams (APIs, infra, observability, reliability)
- Make high-stakes decisions on trade-offs (latency, cost, scalability, model performance)
- Mentor senior engineers and influence engineering culture/org standards
- Partner with product, data, and leadership on long-term technical strategy
🧠 What We’re Looking For
- Proven track record building high-scale backend or platform systems
- Deep expertise in distributed systems, microservices, cloud (AWS/GCP/Azure)
- Strong exposure to data systems/infra / Data / real-time architectures
- Experience or strong interest in LLMs, GenAI, or AI system design
- Exceptional system design, abstraction, and problem-solving ability
- High ownership mindset — you think in terms of systems, not tickets
- Strong coding skills in Python / Java / Go / Node.js
- Solid understanding of data structures, system design basics, and backend architecture
- Experience building scalable APIs and services
- Familiarity or curiosity around AI/LLMs, async systems, or event-driven design
- Strong debugging, problem-solving, and ownership mindset
- Solve hard system problems (latency, scale, reliability)
- Drive cross-team technical decisions and standards
- Mentor senior engineers and influence org-wide architecture
- Design large-scale distributed systems and backend platforms
- Mentorship & Technical Leadership
- Expertise in system design, scalability, and performance optimization
Nice to Have
- Experience integrating LLMs, vector databases, or AI pipelines
- Contributions to architecture at scale
- Experience with Agentic AI / LLM orchestration frameworks
- Background in product engineering or platform companies
- Exposure to global-scale systems (millions of users / high throughput)
🔥 What Sets You Apart
- Built platforms used by millions of users / high-throughput systems
- Experience with event-driven systems, stream processing, or infra platforms
- Prior work on AI/ML platforms, model serving, or intelligent systems
Job Title: AI Engineer
Location: Bengaluru
Experience: 3 Years
Working Days: 5 Days
About the Role
We’re reimagining how enterprises interact with documents and workflows—starting with BFSI and healthcare. Our AI-first platforms are transforming credit decisioning, document intelligence, and underwriting at scale. The focus is on Intelligent Document Processing (IDP), GenAI-powered analysis, and human-in-the-loop (HITL) automation to accelerate outcomes across lending, insurance, and compliance workflows.
As an AI Engineer, you’ll be part of a high-caliber engineering team building next-gen AI systems that:
- Power robust APIs and platforms used by underwriters, credit analysts, and financial institutions.
- Build and integrate GenAI agents.
- Enable “human-in-the-loop” workflows for high-assurance decisions in real-world conditions.
Key Responsibilities
- Build and optimize ML/DL models for document understanding, classification, and summarization.
- Apply LLMs and RAG techniques for validation, search, and question-answering tasks.
- Design and maintain data pipelines for structured and unstructured inputs (PDFs, OCR text, JSON, etc.).
- Package and deploy models as REST APIs or microservices in production environments.
- Collaborate with engineering teams to integrate models into existing products and workflows.
- Continuously monitor and retrain models to ensure reliability and performance.
- Stay updated on emerging AI frameworks, architectures, and open-source tools; propose improvements to internal systems.
Required Skills & Experience
- 2–5 years of hands-on experience in AI/ML model development, fine-tuning, and building ML solutions.
- Strong Python proficiency with libraries such as NumPy, Pandas, scikit-learn, PyTorch, or TensorFlow.
- Solid understanding of transformers, embeddings, and NLP pipelines.
- Experience working with LLMs (OpenAI, Claude, Gemini, etc.) and frameworks like LangChain.
- Exposure to OCR, document parsing, and unstructured text analytics.
- Familiarity with model serving, APIs, and microservice architectures (FastAPI, Flask).
- Working knowledge of Docker, cloud environments (AWS/GCP/Azure), and CI/CD pipelines.
- Strong grasp of data preprocessing, evaluation metrics, and model validation workflows.
- Excellent problem-solving ability, structured thinking, and clean, production-ready coding practices.
Laravel developer is responsible for designing, developing, and maintaining web applications using the Laravel framework. They must have a strong understanding of PHP, MySQL, HTML, CSS, and JavaScript. Additionally, they should have experience working with other PHP frameworks and have a good understanding of software design principles.
The responsibilities of a Laravel developer may include:
- Developing, testing, and maintaining web applications using Laravel.
- Working closely with other developers and stakeholders to ensure the application meets requirements.
- Troubleshooting and resolving issues with the application.
- Writing clean, efficient, and well-documented code.
- Developing and maintaining APIs to integrate with other systems.
- Ensuring the application is secure and scalable.
- Participating in code reviews and collaborating with the team to improve code quality.
- Staying up-to-date with new technologies and best practices in web development.
Mogi I/O (www.mogiio.com), a Delhi based video delivery SaaS venture, is looking for a Full-stack /mean stack developer, both for an internship role.
A candidate should be high performance, high energy. He would work on core video and image tech. Should be a hands-on Full Stack or mean stack coder.
Experience – Any experience in Back end working on NodeJs and MongoDB.
Some core requirements -
- Should be a hands-on Back end- NodeJs and MongoDB, with experience in building real world applications.
- Highly curious, ability to learn and implement new technologies independently
- High ownership and impact-driven, capable of juggling multiple things
- Effective team player, able to mentor and learn from teammates.
Technical Proficiency - MongoDB, Node.js
Location – Work from Office (Saket, Delhi)
Compensation -
10k-12k per month based on interview performance and skill set, opportunity to convert to full time post internship completion.
Pre-Placement Offer(Performance based).
- B.E/M.C. A Or B.C.A Degree in Computer Science, Engineering, MIS, Or Similar Relevant Field
- Strong Knowledge of PHP Web Frameworks E.G Laravel
- Understanding the Fully Synchronous Behaviour Of PHP
- Understanding of MVC Design Patterns
- Basic Understanding of Front-End Technologies, Such as JavaScript, HTML5, And CSS3 - Knowledge of Object-Oriented PHP Programming.
- Strong Knowledge of The Common PHP Or Web Server Exploits and Their Solutions
- Understanding Fundamental Design Principles Behind A Scalable Application.
- Integration of Multiple Data Sources and Databases into One System
- Familiarity With SQL/NoSQL Databases and Their Declarative Query Languages
- Proficient Understanding of Code Versioning Tools, Such as Git, Bitbucket.
- Understanding Fundamentals of Cloud Technologies E.G AWS
- Knowledge of Node.js And React.js Should Be an Advantage.
- Knowledge of HealthCare and e-Commerce domain will be good.











