Senior AI Engineer – LLM Fine-Tuning​/Model Engineering

• 5+ years of enterprise software development
  , including 2+ years of hands-on AI/GenAI experience
• Strong Python development and production AI/LLM engineering experience
• Proven experience building Generative AI solutions for financial services
  , including trading, investment operations, research, compliance or productivity use cases
• Deep hands-on LLM fine-tuning and model adaptation experience:
• LoRA / QLoRA
• PEFT
• Supervised fine-tuning
• Preference tuning
• Experience deploying fine-tuned/custom models into production
  , including containerized inference, GPU infrastructure, model registries and model-serving frameworks
• Strong model evaluation and benchmarking skills — comparing base, fine-tuned, distilled and RAG approaches using quality, latency, throughput and cost metrics
• Practical experience with open-weight models
  , such as Llama, Mistral/Mixtral, Qwen, Gemma, Phi or similar
• Experience with Lang Chain, Lang Graph and/or Semantic Kernel for GenAI workflows and agentic applications
• Strong Microsoft Azure experience, particularly Azure OpenAI, Azure Machine Learning and Azure Cognitive Search; AWS exposure is a plus
• Strong RAG, semantic retrieval and conversational memory experience
• Experience with Docker, Kubernetes, CI/CD and observability for enterprise AI deployment
• Ability to work with quants, traders and business stakeholders and translate business requirements into AI/model solutions
• Strong problem-solving, communication, stakeholder management and Agile delivery skills
• Bachelor's/Master's degree in Computer Science or equivalent experience

This role has a much stronger model-engineering focus
, particularly around fine-tuning, open-source models, evaluation/benchmarking and production deployment of customized models.