SSEII - Backend GenAI Engineer

Gen AI/LLM Backend Engineer

Job Description

Apply for a highly demanded new age job – GenAI/LLM Backend Engineer

Working at the edge of AI/ML technologies we help our BU's to leverage the value of unstructured data, to uncover the hidden power of accumulated enterprise information.

As an LLM engineer, you will have the opportunity to apply your deep expertise in LLM/GenAI technologies. Your main responsibility will be collaborating closely with BU's to prototype, build, test, and deploy products powered by GenAI/LLM technology on a large scale. 

Your responsibilities will include:

• Work with Python, LLM/GenAI frameworks and tools AI/ML end-to-end solutions developing
• CI/CD pipelines development, LLM model containerizing and deployment on cloud or premise. Models testing and follow-up maintenance. All stages of ML model life cycle ensuring and support.
• Design prototypes and POCs to demonstrate solution feasibility and value. Provide architecture solution.
• Research, design, build, and train innovative applications of LLMs to solve complex real-world problems.
• Quality Assurance: Developing and executing comprehensive test plans and automation to ensure the functionality, performance, and reliability of backend systems.

Qualifications

• Bachelor’s Degree in  Computer Science, or other related fields
• Experience in AI/ML technologies and software engineering, at least 2-3+ years of hands-on experience with Python/FastAPI/Microservices and MySQL or NoSQL , 1+ years of experience building and maintaining scalable API solution

• 2+ years of professional experience with NLP, 1+years of professional experience with Large Language Models (LLM)/GenAI technology like OpenAI API, ChatGPT, GPT-4, Bard,  Langchain, HuggingFace Transformers, PyTorch and similar, 1+ years of experience with prompt engineering, 1+ years of experience with vector database

• 2+ years of experience with  GCP or Microsoft Azure, 2+ years of experience with MLOps, CI/CD pipeline development, containerization, model deployment in test and production environments
• Be a team player, fluent in English and ability to clearly communicate complex LLM capabilities and limitations to non-technical stakeholders

Would love to see, but ready to consider without:

• Experience with Java, Java Script or Scala
• Deep knowledge of a specific domain or industry, with a focus on NLP/LLM
• In depth understanding of Responsible AI standards and protocols
• Applied research background leveraging frameworks to build LLM prototypes, knowledge of best practices for production LLM development