Senior GenAI Developer

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Job Overview

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.

Key Responsibilities:

• 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.

• 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.

Required Soft Skills:

• 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.

Qualifications:

• 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.