Applied AI Engineer - LLM & GenAI

Role: AI Engineer - LLM & GenAI

Eligibility Criteria

JEE Rank: Candidates should have secured a JEE rank below 5,000.

Experience: Candidates should have 25 years of experience working at a startup.

Educational Qualification: Candidates must have completed their UG degree from one of the top 10 IITs in India. A PG degree from an IIT will not be considered eligible if the candidates UG degree was not completed at an IIT.

Additional Preferred Institutes: Candidates who have completed their UG degree from the following institutes will also be considered:

IIIT HyderabadNIT TrichyIIT (BHU), VaranasiBITS Pilani Pilani CampusBITS Pilani Goa CampusChennai Mathematical Institute (CMI)Indian Statistical Institute (ISI), KolkataCompany: Tribe Catalyst (Hiring on behalf of a well-funded early-stage AI startup)

Location: Bangalore, Karnataka (HSR Layout)

Work Mode: Work From Office (WFO)

Employment Type: Full-Time, Permanent

Working Days: Monday to Friday

Experience: 25 Years

Compensation: Up to 50 LPA CTC + ESOPs 23 L (Year 1)

Team Size: 5-member founding team

Note: Competitive compensation, commensurate with the candidates experience, skills, and performance throughout the interview process.

About the Role

We are looking for an AI Engineer to join the early engineering team of a fast-growing AI startup in Bangalore.

This is a high-ownership opportunity for an AI engineer who wants to work directly with the founders and build AI systems from the ground up.

You will work across the AI layer, including Large Language Models (LLMs), agentic AI, AI evaluation, voice AI, multimodal reasoning, and personalization, along with the infrastructure required to build fast, reliable, and engaging AI products.

This is an ideal opportunity for someone who enjoys solving complex technical problems, working in a fast-paced startup environment, and taking ownership of products from idea to production.

What You'll Work On

Build and deploy production-grade AI/ML systems.Develop applications powered by Large Language Models (LLMs).Design and implement agentic AI workflows.Work on Voice AI systems and natural voice interactions.Explore and build solutions involving multimodal reasoning.Work on AI evaluation and improving the quality and reliability of AI systems.Contribute to AI personalization and product intelligence.Solve complex technical problems across the AI and product stack.Work closely with the founders on core AI and product decisions.Take substantial ownership of building and improving AI systems from the ground up.Requirements

25 years of relevant experience in AI/ML engineering or a closely related field.Must be a graduate/postgraduate of one of the top 10 IITs in India.Strong programming and problem-solving skills.Hands-on experience building AI/ML systems.Experience with one or more of the following:Large Language Models (LLMs)Agentic AI / AI AgentsVoice AIMultimodal AI / Multimodal ReasoningAbility to build and deploy production-grade AI systems.Strong sense of ownership and ability to work independently.Comfortable working in a fast-paced, early-stage startup environment.Why Join

Work directly with the founders with no management layers in between.Be part of a small founding AI engineering team.Take significant technical ownership from day one.Build AI systems from the ground up rather than working several layers removed from the product.Contribute directly to core AI and product decisions.Gain hands-on exposure across LLMs, agentic AI, Voice AI, multimodal reasoning, and AI applications.Opportunity to work on meaningful AI products at an important stage of the company's growth.Competitive compensation of up to 50 LPA CTC + ESOPs 23 L (Year 1).Benefits include Health Insurance, Life Insurance, and Leave Encashment.If you are an AI engineer looking for an opportunity to work closely with founders, take substantial technical ownership, and build cutting-edge AI systems from the ground up, we would love to hear from you.

Compensation: Up to 5,000,000.00 per year

Benefits:

Health insuranceLeave encashmentLife insuranceWork Location: In person .