LLM Specialist - Generative AI

Emperen Technologies; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

A leading technology firm seeks an LLM Optimization Specialist with substantial experience in Generative AI within the fintech sector. The ideal candidate will optimize, host, and evaluate LLMs while ensuring compliance and security standards. This role requires technical expertise and a collaborative mindset to meet business needs in high-performance environments.

Qualifications

• 4 years of hands-on experience with Generative AI and LLMs.
• Domain experience in fintech or financial services required.
• Proficiency in deploying LLMs on custom infrastructure.

Responsibilities

• Optimize Large Language Models for production applications.
• Host and deploy LLMs ensuring high availability.
• Collaborate on AI-driven solutions.

Skills

Fine-tuning LLMs

Evaluation methodologies

Python

AI/ML libraries

Job description

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: 4 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 :

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