What are the responsibilities and job description for the LLM Engineer position at First Soft Solutions LLC?
We are actively hiring for LLM Engineer
Location: Dallas, TX (Hybrid)
C2C OR W2
Location: Dallas, TX (Hybrid)
C2C OR W2
- 5 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/Langgraph, and SQL is a must.
- Understanding of Cloud services, including Azure, GCP, or AWS.
- Excellent communication skills to effectively collaborate with business SMEs.
- 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.