Principal/Staff Gen AI Engineer

Turing Global India; Hyderabad; Hybrid; INR 1,800,000 - 2,400,000; Full time

Job summary

Turing is hiring for a Hyderabad hybrid GenAI role focused on LLM-driven solutions for Fortune 500 customers. Lead engineering efforts, design and deploy generative AI applications, and collaborate with product owners, data scientists, and business SMEs to deliver impactful AI products.

Ideal candidates bring 8+ years in AI/ML engineering, 2+ years in GenAI, and strong Python/SQL skills, with cloud experience across Azure, GCP, or AWS.

Qualifications

• 8+ years of hands-on engineering experience in AI/ML.
• 2+ years building Generative AI (LLM) applications.
• Expert in GenAI architectures and scalable systems.
• Proficient in Python, LangChain/LangGraph and SQL.
• Cloud experience with Azure, GCP or AWS.
• Strong communication with business SMEs.

Responsibilities

• Build the technical roadmap and own delivery.
• Lead the engineering team toward the roadmap.
• Develop and optimize LLM-based solutions (prompting, RAG, agents).
• Maintain Python/SQL codebase with scalable components.
• Assist GenAI deployments on cloud with CI/CD.
• Collaborate with product owners, data scientists, SMEs.
• Provide technical mentorship and ML best practices.
• Stay updated on LLM research and innovations.

Skills

LLM development

GenAI deployments

Python programming

LangChain

LangGraph

SQL

Cloud integration

Team leadership

Communication with SMEs

Tools

LangChain

LangGraph

Job description

Note: This is for Hyderabad office in hybrid setup.

About the role:

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

Roles & Responsibilities

• Build the technical roadmap given a business requirement and own the delivery of the same.
• Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction.
• 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.

Required skills

• 8+ years of professional, hands-on engineering experience, including 46+ years specializing in building and deploying AI/ML models and systems.
• 2+ years of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and/or agents.
• Expert in architecting GenAI applications/systems using various frameworks & cloud services.
• Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications.
• Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
• Experience in driving the engineering team toward a technical roadmap.
• Excellent communication skills to effectively collaborate with business SMEs.