Senior GenAI Engineer

Hyderabad, India

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Senior GenAI Engineer

Overview of the role:

The Sisal AI & Automation group is looking for a motivated and versatile expert to develop and operationalize next-generation Agentic AI systems across our business. As a Senior Generative AI Engineer, you will play a critical role in shaping the software development lifecycle (SDLC) of AI products—guiding them from concept to production deployment—while also mentoring junior team members and managing multiple concurrent initiatives.


You’ll be joining an industry-leading team and building transformative AI solutions that drive real-world impact across Sisal’s portfolio, including Sports Betting, Gaming, and other domains. This hybrid role combines remote work flexibility with collaboration in our modern offices in Hyderabad, India.


What you will do:

Across areas such as Sports Betting, Gaming, and other Sisal products, you will lead the development of Advanced Agentic AI systems.


You shall have the opportunity to architect and implement Generative AI to streamline Sisal AI solutions, own the end-to-end SDLC for AI initiatives and set Generative AI standard together with the Data Science group.


You will manage and prioritize multiple AI/ML projects simultaneously, driving the company's strategic edge by transforming raw data into actionable insights in this dynamic and thrilling environment.


What you will need:

  • A Master’s degree in a STEM field with 4 to 6 years of experience as an AI/ML Engineer.
  • Strong Python programming skills and a solid understanding of databases and data pipelines.
  • Demonstrated success in delivering production-grade AI/ML solutions, with hands-on involvement throughout the full SDLC.
  • Proven experience working with Generative AI tools and frameworks (e.g., OpenAI, Hugging Face, Anthropic).
  • Hands-on experience building Retrieval-Augmented Generation (RAG) systems using vector databases.
  • Exposure to cloud-based machine learning environments and MLOps tooling.
  • Experience mentoring junior team members and leading small technical groups is highly valued.
  • Ability to juggle multiple parallel projects, prioritize effectively, and manage time across shifting business demands.
  • Excellent communication skills, with the ability to explain technical concepts clearly and persuasively to non-technical stakeholders.


Highly desirable skills:

  • Experience in developing LLM-based applications and LLM-Ops, leveraging them to tackle business problems is desirable.
  • Exposure to Azure tools include Azure OpenAI Ecosystem.
  • Publications on international journals are a big plus


It is ok if you do not think you tick every box on this list! We love people who want to challenge themselves and are passionate about what they do. If you believe you can contribute in some areas and are eager to learn, we encourage you to apply!!


Why choose us:

Aside from a generous base salary, we have a phenomenal benefits and rewards program that is designed to encourage personal and career development.

This package includes:

  • Discretionary annual performance bonus
  • 30 days paid leave
  • Health Insurance for you and your partner, children, and parents or parents-in-law (up to 5 dependents)
  • A personal interest allowance to let you learn something new or pursue a hobby
  • Looking to extend your family? You will receive a cash gift of 34,000 INR for your new addition whilst working for us
  • 26 weeks primary carer leave, and 4 weeks secondary carer leave
  • External learning support of up to £1,000 or equivalent in local currency, dedicated 4 learning “Power Hours” every month during office time, full access to the Udemy and Mindtools platforms, in-house leadership program and many other training opportunities for developing your skills and progressing your career.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Anthropic Azure Data pipelines Generative AI LLMs Machine Learning MLOps OpenAI Pipelines Python RAG SDLC STEM

Perks/benefits: Career development Flex hours Health care Salary bonus

Region: Asia/Pacific
Country: India

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