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.
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
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