About The Position

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.

Requirements

  • 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, 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.
  • At least 5 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.
  • Bachelor’s or master’s degree in Computer Science, Data Science, AI, or a related field.

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.

Benefits

  • In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards.
  • Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.
  • Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays.
  • For additional information regarding Citi employee benefits, please visit citibenefits.com.
  • Available offerings may vary by jurisdiction, job level, and date of hire.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service