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Senior Gen AI Developer

India, Chennai · Job Posted April 16, 2026
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Job Description

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.

Job Responsibility

  • 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

Requirements

  • Bachelor’s or master’s degree in Computer Science, Data Science, AI, or a related field
  • 5–7 years of experience in AI/ML, including significant experience in Generative AI
  • Demonstrated portfolio of successful AI-driven projects in a business environment
  • Experience working with AWS (or equivalent) cloud infrastructure for AI/ML
  • 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
  • Experience building RAG systems, including hybrid search and multi-vector retrieval
  • Proficient with machine learning frameworks (PyTorch, TensorFlow, Keras) and distributed training
  • Strong skills in NLP (NER, Dependency Parsing, Text Classification, Topic Modeling), transfer learning, and advanced learning paradigms
  • Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models
  • Familiarity with generative AI tools like LangChain, LlamaIndex, Langgraph, Crew.ai, Autogen, Hugging Face, and major GenAI APIs (OpenAI, Gemini, Claude, etc.)
  • Solid understanding of AI compliance, guardrails, and responsible AI practices
  • Strong skills in Python and experience with data preprocessing, feature engineering, and API development
  • Strong collaboration skills to work effectively in cross-functional teams
  • Analytical and proactive approach to problem-solving
  • Clear communication skills for both technical and non-technical audiences
  • Eagerness to learn, innovate, and mentor less experienced developers

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