
We are looking for an AI Architect to join our team.
Responsibilities
- Architecture Design: Develop scalable and efficient AI architectures.
- Technical Guidance: Provide expertise and guidance to development teams.
- System Integration: Collaborate to integrate AI technologies into systems.
- Performance Optimization: Optimize AI models and infrastructure.
- Data Management: Manage large datasets for AI training.
- Ethical Considerations: Address ethical and privacy concerns.
- Technical Documentation: Create comprehensive technical documentation.
- Collaboration and Communication: Collaborate with stakeholders.
- Problem-Solving: Analyze and troubleshoot technical issues.
- Continuous Learning: Stay updated with AI advancements.
Requirements
- Education: Bachelors or masters degree in computer science or related field.
- Experience: 8+ years of experience with 3+ years as an architect. Extensive experience in Gen AI and LLM technologies, including exposure to open source LLMs is a must.
- Technical Expertise: Proficiency in NLP, machine learning, and deep learning. Familiarity with open source LLM frameworks like GPT-3/4 or similar models.
- Architectural Design: Ability to design scalable and efficient AI architectures.
- System Integration: Skill in integrating AI technologies, including open source LLMs, into new or existing systems.
- Performance Optimization: Experience in optimizing AI models and systems, including open source LLMs, for efficiency.
- Data Management: Knowledge of handling large datasets for Gen AI and LLM training, including open source LLMs.
- Ethical Considerations: Understanding of AI ethics and privacy concerns, particularly relevant to open source LLMs.
- Collaboration and Communication: Strong teamwork and communication skills.
- Problem-Solving: Aptitude for troubleshooting and resolving technical challenges related to open source LLMs.
- Continuous Learning: Willingness to stay updated with advancements in Gen AI, LLMs, and open source LLM technologies.

About Webtiga Private limited
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Experts in Web 3 Technologies -Metaverse, Generative AI, Web3,Cybersecurity and DeFi spoken
For more details - please check out our website-https://www.webtiga.com/solutions/
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We’re a small team solving deep technical and product challenges: orchestrating large-scale conversation data, applying reasoning and summarization models, and turning this into insights that businesses can trust.
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You’ll work closely with our AI, data, and product teams to build responsive, real-time interfaces that bring brand intelligence to life.
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- Deep expertise in Next.js, React, Node.js, and TypeScript
- Experience architecting systems that handle thousands of concurrent users with low latency
- Strong understanding of web performance, caching, and asynchronous data flows
- Familiarity with databases (MongoDB/Postgres) and API design (REST or GraphQL)
- Strong product intuition — you care about UX, not just functionality
- Bonus: exposure to AI/LLM integrations, WebSockets, or event-driven architectures
We're looking for an experienced Full-Stack Engineer who can architect and build AI-powered agent systems from the ground up. You'll work across the entire stack—from designing scalable backend services and LLM orchestration pipelines to creating frontend interfaces for agent interactions through widgets, bots, plugins, and browser extensions.
You should be fluent in modern backend technologies, AI/LLM integration patterns, and frontend development, with strong systems design thinking and the ability to navigate the complexities of building reliable AI applications.
Note: This is an on-site, 6-day-a-week role. We are in a critical product development phase where sthe peed of iteration directly determines market success. At this early stage, speed of execution and clarity of thought are our strongest moats, and we are doubling down on both as we build through our 0→1 journey.
WHAT YOU BRING:
You take ownership of complex technical challenges end to end, from system architecture to deployment, and thrive in a lean team where every person is a builder. You maintain a strong bias for action, moving quickly to prototype and validate AI agent capabilities while building production-grade systems. You consistently deliver reliable, scalable solutions that leverage AI effectively — whether it's designing robust prompt chains, implementing RAG systems, building conversational interfaces, or creating seamless browser extensions.
You earn trust through technical depth, reliable execution, and the ability to bridge AI capabilities with practical business needs. Above all, you are obsessed with building intelligent systems that actually work. You think deeply about system reliability, performance, cost optimization, and you're motivated by creating AI experiences that deliver real value to our enterprise customers.
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Your primary responsibility (95% of your time) will be designing and building AI agent systems across the full stack. Specifically, you will:
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- Design and build robust AI pipelines — implementing RAG systems, agent workflows, tool calling, and chain-of-thought reasoning patterns.
- Develop frontend interfaces for AI interactions including embeddable widgets, Chrome extensions, chat interfaces, and integration plugins for third-party platforms.
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- Collaborate on system design decisions around AI infrastructure, model selection, vector databases, and real-time agent capabilities.
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- Hands-on AI/LLM experience: prompt engineering, working with OpenAI/Anthropic/Google APIs, implementing RAG, managing context windows, and optimizing for latency/cost.
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PREFERRED QUALIFICATIONS:
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- Prior work on conversational AI, chatbots, or virtual assistants at scale.
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- Knowledge of browser automation, web scraping, or RPA technologies.
- Experience with multi-tenant SaaS architectures and enterprise security requirements.
- Contributions to open-source AI/LLM projects or published work in the field.
WHAT WE OFFER:
- Competitive salary + meaningful equity.
- High ownership and the opportunity to shape product direction.
- Direct impact on cutting-edge AI product development.
- A collaborative team that values clarity, autonomy, and velocity.
Location: Hybrid/ Remote
Openings: 2
Experience: 5+ Years
Qualification: Bachelor’s or Master’s in Computer Science or related field
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- Optimize application performance, scalability, and reliability.
Design & Develop:
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- Develop clean, reusable, and maintainable code for both frontend and backend.
AI Integration (Preferred):
- Collaborate with the team to integrate AI/ML models into applications where applicable.
- Explore Generative AI, NLP, or machine learning solutions that enhance product capabilities.
Technical Leadership & Mentorship:
- Provide guidance, mentorship, and code reviews for junior developers.
- Foster a culture of technical excellence and knowledge sharing.
Agile & Delivery Management:
- Participate in Agile ceremonies (sprint planning, stand-ups, retrospectives).
- Define and scope backlog items, track progress, and ensure timely delivery.
Collaboration:
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Quality Assurance & Security:
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Innovation & Continuous Improvement:
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upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc.
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- Work closely with the QA and Support teams to track quality and proactively identify improvement opportunities.
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- Grow technical skills in the team - identify skill gaps with plans to address them, participate in hiring, mentor other architects and engineers.
- Support other engineers in resolving complex technical issues as a go-to person.
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- 12+ years of experience in design and development of ecommerce scale systems and highly scalable SaaS or enterprise products.
- Extensive experience in developing extensible and scalable web applications with
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- Extensive experience with cloud based architectures and how to optimize design for cost.
- Expert level understanding of secure application design practices and a working understanding of cloud infrastructure security.
- Experience with CI/CD processes and design for testability.
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- Ability to organize, prioritize and schedule a high workload and multiple parallel projects efficiently.
- Excellent verbal and written communication with stakeholders in a matrixed environment.
- Long term experience with at least one product from inception to completion and evolution of the product over multiple years.
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