Senior LLM Engineer
Our client seeks an Sr. LLM Engineer for a Long term project in Dallas, TX . Below is the detailed requirement
Title: Sr. LLM Engineer
Location : Dallas, TX (local candidates)
Duration: 12 Months
Job Description:
Bachelor's degree preferably in Computer Science, Information technology, Computer Engineering, or related IT discipline or equivalent experience with 12+ Minimum Experience
• 8+ years of professional experience in building Machine Learning models & systems.
• 2+ 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/Lang graph, and SQL is a must.
• Understanding of Cloud services, including Azure, GCP, or AWS.
• Excellent communication skills to effectively collaborate with business SMEs.
Roles & Responsibilities
• Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
• 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: Aid in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
• Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
• 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
Our client seeks an Sr. LLM Engineer for a Long term project in Dallas, TX . Below is the detailed requirement
Title: Sr. LLM Engineer
Location : Dallas, TX (local candidates)
Duration: 12 Months
Job Description:
Bachelor's degree preferably in Computer Science, Information technology, Computer Engineering, or related IT discipline or equivalent experience with 12+ Minimum Experience
• 8+ years of professional experience in building Machine Learning models & systems.
• 2+ 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/Lang graph, and SQL is a must.
• Understanding of Cloud services, including Azure, GCP, or AWS.
• Excellent communication skills to effectively collaborate with business SMEs.
Roles & Responsibilities
• Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
• 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: Aid in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
• Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
• 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
