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Advanced Large Language Model Developer

2 weeks ago

Shimoga, Karnataka, India beBeeArtificialIntelligence Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

About us:

As a key member of our GenAI delivery organization, you will be part of a high-performing team that specializes in large language model (LLM) development and deployment.

Our team has a proven track record of implementing industry-leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises.

Job Description

We are seeking an experienced Artificial Intelligence Engineer to join our team. As a seasoned professional in building Machine Learning models & systems, you will lead the design, training, fine-tuning, and deployment of large language models.

  • Develop and optimize LLM-based solutions: Leverage techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures to improve model performance.
  • Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
  • Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
Requirements
  • 4+ years of professional experience in building Machine Learning models & systems
  • 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.
  • Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
  • Understanding of Cloud services from various cloud services from Azure, GCP, or AWS for building the GenAI applications
  • Excellent communication skills to effectively collaborate with business SMEs
Benefits

As a valued member of our team, you will have opportunities for growth and professional development, including:

  • Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
  • Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.