On-Site
Contract
Hyderabad, Telangana
India
Skills
Artificial Intelligence (AI)
Google Cloud Platform (GCP)
Python (Programming Language)
SQL
Large Language Models (LLM)
Retrieval-Augmented Generation (RAG)
Machine Learning
Cloud Services
Prompt Engineering
About the Role
About the Role
Sr. LLM Engineer: Gen AI
Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises.
Required skills
Location: Work from Office - Hyderabad/Gurgaon - 3 days hybrid
Years of Experience: 5 - 9
Start Date: Immediate
Interview Process: 1 level of internal vetting Bar raiser or Vetsmith , 2 internal interviews and 1 customer
5+ 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.
Experience in driving the engineering team toward a technical roadmap.
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
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: Aide 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.
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.
Kindly share your updated CV along with your details for further consideration on
ravi.pandey@gemrajtechs.com . Also, Please feel free to connect with me on LinkedIn, and I will share the Google Meet link with you to discuss about the job role.
Sr. LLM Engineer: Gen AI
Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises.
Required skills
Location: Work from Office - Hyderabad/Gurgaon - 3 days hybrid
Years of Experience: 5 - 9
Start Date: Immediate
Interview Process: 1 level of internal vetting Bar raiser or Vetsmith , 2 internal interviews and 1 customer
5+ 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.
Experience in driving the engineering team toward a technical roadmap.
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
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: Aide 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.
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.
Kindly share your updated CV along with your details for further consideration on
ravi.pandey@gemrajtechs.com . Also, Please feel free to connect with me on LinkedIn, and I will share the Google Meet link with you to discuss about the job role.
Apply for this position
Application Status
Application Draft
In Progress
Submit Application
Pending
Review Process
Expected within 5-7 days
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