Posted on: 09/11/2026
Role Overview:
We are seeking a highly skilled Senior AI Engineer to join our innovation hub in Hyderabad, where you will be at the forefront of building next-generation intelligent systems. In this role, you will design, develop, and deploy sophisticated AI solutions that leverage the latest advancements in Generative AI and Agentic AI frameworks to solve complex business challenges. You will collaborate closely with cross-functional product teams, data scientists, and key stakeholders to translate ambiguous requirements into scalable, production-grade AI architectures. By bridging the gap between cutting-edge research and real-world application, your work will directly enhance user experiences, automate intricate workflows, and drive significant operational efficiency for our global client base.
Key Responsibilities:
- Architect and implement end-to-end LLM-based applications, ensuring high performance and reliability to deliver superior value to end-users.
- Develop autonomous agentic workflows that orchestrate complex tasks, reducing manual intervention and streamlining internal business processes.
- Optimize and fine-tune large language models for domain-specific tasks, ensuring accuracy and relevance in high-stakes enterprise environments.
- Collaborate with engineering teams to integrate AI models into existing production pipelines, maintaining seamless scalability and system stability.
- Mentor junior engineers and contribute to technical design reviews, fostering a culture of excellence and continuous learning within the AI practice.
Required Skillset:
- Demonstrated expertise in designing and deploying Generative AI and LLM-based solutions, with a strong grasp of prompt engineering, RAG architectures, and model fine-tuning.
- Proven ability to build and deploy Agentic AI systems that demonstrate reasoning, planning, and tool-use capabilities in real-world scenarios.
- Strong proficiency in Machine Learning frameworks and Python, with a deep understanding of the end-to-end MLOps lifecycle from experimentation to production.
- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders and influence product roadmaps.
- A degree in Computer Science, Artificial Intelligence, or a related quantitative field, reflecting a strong foundation in algorithmic thinking.
- High adaptability to a hybrid work environment in Hyderabad, demonstrating the ability to collaborate effectively across distributed teams and time zones.
- 4 - 7 years of professional experience in building and scaling AI-driven products in fast-paced, high-growth environments.
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