Senior Lead Generative AI Developer engineer

Citi · Pune · Posted 2026-07-18

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About the role

We are seeking an experienced Senior Generative AI Developer to help drive the design, development, and integration of state-of-the-art Generative AI solutions across our enterprise Controls Technology platform. You will collaborate with cross-functional teams, contribute deep technical expertise, and play a key role in delivering scalable AI solutions to enhance automation and operational efficiency.
Responsibilities: - We are seeking an experienced Senior Generative AI Developer to help drive the design, development, and integration of state-of-the-art Generative AI solutions across our enterprise Controls Technology platform.
- You will collaborate with cross-functional teams, contribute deep technical expertise, and play a key role in delivering scalable AI solutions to enhance automation and operational efficiency.
- Collaborate with AI architects, leads, and stakeholders to design and implement generative AI solutions that address business challenges.
- Develop, fine-tune, and optimize large language models (LLMs), leveraging both parameter-efficient techniques and full fine-tuning where applicable.
- Implement and experiment with advanced generative AI methods, including prompt engineering and Retrieval-Augmented Generation (RAG).
- Support the integration of AI models into production environments, ensuring robust deployment, scalability, and maintainability.
- Contribute to the development and optimization of real-time and streaming AI solutions.
- Stay current with the latest advances in generative AI and actively share knowledge with the team.
- Ensure adherence to ethical AI guidelines, data privacy, and compliance standards.
- Mentor junior team members, provide code reviews, and foster a culture of technical excellence.
- Required Technical Skills:
- Strong hands-on experience with LLMs and fine-tuning methods such as LoRA, QLoRA, Adapter/Prefix Tuning, and instruction tuning.
- Practical knowledge of model optimization (compression, quantization) and familiarity with tools such as DeepSpeed, vLLM, GPTQ, or similar.
- Proficient in prompt engineering and familiarity with prompt design tools/frameworks.
Qualifications: - experience with LLMs and fine-tuning methods such as LoRA, QLoRA, Adapter/Prefix Tuning, and instruction tuning.
- Practical knowledge of model optimization (compression, quantization) and familiarity with tools such as DeepSpeed, vLLM, GPTQ, or similar.
- Proficient in prompt engineering and familiarity with prompt design tools/frameworks.

Qualifications

- experience with LLMs and fine-tuning methods such as LoRA, QLoRA, Adapter/Prefix Tuning, and instruction tuning.
- Practical knowledge of model optimization (compression, quantization) and familiarity with tools such as DeepSpeed, vLLM, GPTQ, or similar.
- Proficient in prompt engineering and familiarity with prompt design tools/frameworks.

Responsibilities

- We are seeking an experienced Senior Generative AI Developer to help drive the design, development, and integration of state-of-the-art Generative AI solutions across our enterprise Controls Technology platform.
- You will collaborate with cross-functional teams, contribute deep technical expertise, and play a key role in delivering scalable AI solutions to enhance automation and operational efficiency.
- Collaborate with AI architects, leads, and stakeholders to design and implement generative AI solutions that address business challenges.
- Develop, fine-tune, and optimize large language models (LLMs), leveraging both parameter-efficient techniques and full fine-tuning where applicable.
- Implement and experiment with advanced generative AI methods, including prompt engineering and Retrieval-Augmented Generation (RAG).
- Support the integration of AI models into production environments, ensuring robust deployment, scalability, and maintainability.
- Contribute to the development and optimization of real-time and streaming AI solutions.
- Stay current with the latest advances in generative AI and actively share knowledge with the team.
- Ensure adherence to ethical AI guidelines, data privacy, and compliance standards.
- Mentor junior team members, provide code reviews, and foster a culture of technical excellence.
- Required Technical Skills:
- Strong hands-on experience with LLMs and fine-tuning methods such as LoRA, QLoRA, Adapter/Prefix Tuning, and instruction tuning.
- Practical knowledge of model optimization (compression, quantization) and familiarity with tools such as DeepSpeed, vLLM, GPTQ, or similar.
- Proficient in prompt engineering and familiarity with prompt design tools/frameworks.

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