At the cutting edge of AI/ML technologies, we empower our clients to harness the value of unstructured data and uncover hidden insights within their enterprise information. As an LLM engineer, you’ll bring your deep expertise in LLM/GenAI technologies to the table. In collaboration with our R&D team, product managers, and engineering leads, you'll prototype, build, test, and scale innovative products powered by GenAI/LLM technologies. You'll also be instrumental in fine-tuning model hyperparameters, optimizing configurations, and ensuring the highest level of model performance to drive impactful outcomes for our clients.

RESPONSIBILITIES

• Develop LLM solutions on customer data, such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, agents, and content generation.
• Develop end-to-end AI/ML solutions using Python, LLM/GenAI frameworks and tools.
• Develop CI/CD pipelines, containerize LLM models, and deploy them on cloud or on-premise.  Ensure support and maintenance for all LLM/ML model lifecycle stages, including developing training datasets, fine-tuning, testing, deployment pipelines, and ongoing deviation monitoring.
• Design prototypes and POCs to showcase feasibility and value; provide architectural solutions.
• Research, design, build, and train innovative LLM applications to address complex real-world problems.
• Offer technical guidance to clients implementing LLM technologies.  

 QUALIFICATIONS

• Bachelor’s Degree (final-year students may apply) in Statistics, Applied Mathematics, Computer Science, or a related field
• 3+ years of hands-on experience with Python; 2+ years of experience with command line scripting; 1+ years of experience building and maintaining scalable API solutions
• 2+ years of professional experience with NLP; 1+ years of professional experience with Large Language Models (LLM)/GenAI technology (e.g., OpenAI API, GPT-4, Gemini, Llama, Claude, Amazon Bedrock, Langchain, HuggingFace Transformers, PyTorch); 1+ years of experience with prompt engineering and vector databases
• 2+ years of experience with AWS, GCP, or Microsoft Azure; 2+ years of experience with MLOps and CI/CD pipeline development, containerization, and model deployment in test and production environments
• Team player who can communicate complex LLM capabilities and limitations to non-technical stakeholders.

 PREFERRED 

• Master’s or Ph.D. in a relevant field
• 7+ years of product engineering and/or data science experience
• Experience with Ruby on Rails, JavaScript, or Flutter; 2+ years of experience with Snowflake or Databricks
• Deep knowledge of a Retail domain or industry, with a focus on NLP/LLM
• In-depth understanding of Responsible AI standards and protocols
• Applied research background using frameworks to build LLM prototypes; knowledge of best practices for production LLM development