Job Title : Senior LLM Engineer
Location : Hyderabad
Experience : 611 Years
Responsibilities :
- Develop and Optimize LLM Solutions : Lead the design, training, fine-tuning, and deployment of large language models using techniques such as prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
- Codebase Ownership : Maintain high-quality, efficient Python and SQL code, leveraging frameworks like LangChain / LangGraph, focusing on reusable components, scalability, and performance best practices.
- Cloud Integration : Assist in deploying Generative AI applications on cloud platforms (Azure, GCP, 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.
- Mentoring and Guidance : Provide technical leadership, knowledge sharing, and guidance to engineering teams on best practices in machine learning and large language model development.
- Continuous Innovation : Stay current with LLM research and generative AI advancements, proposing and experimenting with emerging techniques to drive improvements in model performance.
Requirements :
Experience : 5+ years in building machine learning models and systems.LLM Expertise : 1+ years hands-on experience with large language models and generative AI, including prompt engineering, RAG, and agents.Leadership : Experience guiding engineering teams toward a technical roadmap.Technical Skills : Expert proficiency in Python, LangChain / LangGraph, and SQL.Cloud Knowledge : Understanding of Azure, GCP, or AWS cloud services.Communication : Strong ability to collaborate with business SMEs and translate complex technical concepts.Ideal Candidate : A technically strong, innovative LLM engineer with a track record of delivering scalable AI solutions, mentoring teams, and staying at the forefront of generative AI technologies.
(ref : hirist.tech)