Sr. LLM Engineer (Gen AI)
Note: We are looking candidates only who can work on W2/1099 !!!
Job Title: Sr. LLM Engineer (Machine Learning & Gen AI)
Location: Dallas, TX (3 days onsite Hybrid)
Project Duration: Long Term Contract
Required skills
• 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, Lang chain/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 Lang Chain/Lang Graph) 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.
Note: We are looking candidates only who can work on W2/1099 !!!
Job Title: Sr. LLM Engineer (Machine Learning & Gen AI)
Location: Dallas, TX (3 days onsite Hybrid)
Project Duration: Long Term Contract
Required skills
• 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, Lang chain/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 Lang Chain/Lang Graph) 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.
