Staff Forward Deployed Engineer

Turing Global India; Hyderabad; Hybrid; INR 4,000,000 - 7,500,000; Full time

Benefits offered by this job

Competitive pay

Flexible hours

5 days a week

Collaborative culture

Job summary

Turing is seeking a Staff Forward Deployed AI Engineer in Hyderabad, India to join the GenAI delivery organization. You will lead design, training, fine-tuning, and deployment of large language models for Fortune 500 customers, collaborating with cross‑functional teams.

The role requires 8+ years in ML, hands-on LLM experience, Python, LangChain, LangGraph, SQL, and cloud platforms. You will mentor engineers and drive innovative GenAI solutions while staying current with the latest LLM research.

Qualifications

• 8+ years of professional experience in building ML models and systems.
• 1+ years of hands-on experience with LLMs and Generative AI techniques (prompt engineering, RAG, agents).
• Experience steering an engineering team toward a technical roadmap.
• Proficiency in Python, LangChain/LangGraph, and SQL.
• Understanding of cloud services (Azure, AWS, or GCP).
• Excellent communication to collaborate with business SMEs.

Responsibilities

• Develop and optimize LLM-based solutions: design, training, fine-tuning, deployment.
• Codebase ownership: Python, LangChain/LangGraph, SQL; reusable components; scalable, performant code.
• Cloud integration: deploy GenAI apps on Azure, AWS, or GCP; optimize resources; CI/CD.
• Collaborate with product owners, data scientists, and SMEs to define requirements and deliver AI products.
• Provide technical leadership and mentorship to the engineering team.
• Stay updated with latest LLM research and generative AI advances to drive improvements.

Skills

LLM techniques

Python

SQL

LangChain

LangGraph

Azure

AWS

GCP

Communication

Job description

Staff Forward Deployed AI Engineer

Hyderabad- India

About Turing

Based in San Francisco, California, Turing is the worlds leading research accelerator for frontier

AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems.

Turing accelerates frontier research with high-quality data, specialized talent, and training

pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises,

Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows,

unlock transformative outcomes, and drive lasting competitive advantage. Recognized by

Forbes, The Information, and Fast Company among the worlds top innovators, Turings

leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon,

McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com

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

• 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 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

Values

• We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
• We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
• We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

Advantages of joining Turing

• Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
• Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
• Competitive compensation
• Flexible working hours

Dont meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if youre excited about this role but your past experience doesnt align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here.