GenAI Engineer

This is a remote position.

Role: GenAI Engineer

Experience: 2+ Years

Location: Remote

Notice Period: (Immediate Joiner - Only)

Key Responsibilities:

• Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live
  
  production-quality applications.
  
• Host and deploy LLMs on custom infrastructure, ensuring high availability and performance.
  
• Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide.
  
• Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs.
  
• Ensure model scalability, security, and compliance with industry standards.
  

Required Skills and Experience:

• Experience: 2–3 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.)
  
• Domain Expertise: Prior experience in the fintech or financial services domain is essential.
  
• LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant).
  
• Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure.
  
• LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks.
  
• Technical Skills:
  

1. Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face).
   
2. Strong understanding of LLM architectures and their optimization techniques.
   
3. Familiarity with cloud-based or on-premise infrastructure for AI deployments.