Gen AI - Engineering Lead

EXL Talent Acquisition Team; Chennai; Vor Ort; INR 4.000.000 - 7.000.000; Vollzeit

Zusammenfassung

EXL Talent Acquisition Team is seeking an experienced AI engineering leader to design and implement server-side AI systems and production-grade ML pipelines. You will drive GenAI initiatives, fine-tuning, RAG, and model optimization while ensuring secure handling of sensitive data in enterprise settings.

The role requires deep expertise with Python, Linux-based environments, and cloud platforms (Azure or GCP), delivering scalable, high-performance AI solutions integrated into enterprise

Qualifikationen

• Bachelor's degree in engineering, CS, AI/ML, data science or related field.
• 10+ years of professional experience in software engineering, machine learning, or AI engineering.
• Minimum 3+ years of hands-on experience with Generative AI technologies and LLMs.

Aufgaben

• Design, develop, and deploy Generative AI and ML solutions using large language models and modern AI frameworks.
• Implement LLM fine-tuning, prompt engineering, retrieval-augmented generation (RAG), and model optimization techniques.
• Deploy and manage AI/ML pipelines and GenAI applications in production environments using Azure or GCP.
• Build and maintain agentic AI systems leveraging modern orchestration and agent frameworks.
• Work with large datasets to build data pipelines and ensure effective model training and evaluation.
• Develop AI solutions using Python and modern ML libraries.
• Manage deployments and infrastructure in Linux-based environments.
• Ensure secure processing and governance of sensitive data (PII/PHI) in compliance with security standards.
• Optimize AI models and infrastructure for performance, scalability, reliability, and cost efficiency.
• Collaborate with cross-functional teams to integrate AI models into enterprise apps.
• Document architectures, experiments, deployment pipelines, and operational processes.
• Stay current with Generative AI, LLMs, and AI engineering practices.

Kenntnisse

Python

Generative AI & LLMs

ML deployment

MLOps

Linux

Azure / GCP

Data security & privacy (PII/PHI)

Ausbildung

Bachelor's degree in Engineering/CS/AI/Data Science or related field

Tools

Azure

Google Cloud Platform

Linux

Jobbeschreibung

Design and implement server-side logic, define and maintain databases, and integrate user-facing elements developed by front-end developers. Ensure high performance and responsiveness of applications, and implement security and data protection measures.

Responsibilities

• Design, develop, and deploy Generative AI and machine learning solutions using large language models and modern AI frameworks.
• Implement LLM fine-tuning, prompt engineering, retrieval-augmented generation (RAG), and model optimization techniques.
• Deploy and manage AI/ML pipelines and GenAI applications in production environments using cloud platforms such as Azure or GCP.
• Build and maintain agentic AI systems leveraging modern orchestration and agent frameworks.
• Work with large datasets to build data pipelines and ensure effective model training and evaluation.
• Develop AI solutions using Python and modern ML libraries.
• Manage deployments and infrastructure in Linux-based environments.
• Ensure secure processing and governance of sensitive data, including PII and PHI, adhering to enterprise security and compliance standards.
• Optimize AI models and infrastructure for performance, scalability, reliability, and cost efficiency.
• Collaborate with cross-functional teams to integrate AI models into enterprise applications and production systems.
• Document model architectures, experiments, deployment pipelines, and operational processes.
• Stay current with emerging developments in Generative AI, LLMs, and AI engineering practices.

Qualifications

• Bachelor's degree in Engineering, Computer Science, AI/ML, Data Science, or a related technical field.
• 10+ years of overall professional experience in software engineering, machine learning, or AI engineering.
• Minimum 3+ years of hands‑on experience working with Generative AI technologies and LLMs.
• Strong programming experience in Python.
• Proven experience fine‑tuning, deploying, and optimizing large language models.
• Experience deploying Generative AI solutions into production environments.
• Hands‑on experience working with Linux‑based systems.
• Experience with cloud platforms such as Microsoft Azure or Google Cloud Platform (GCP).
• Experience building ML pipelines and deploying AI models using modern MLOps practices.
• Experience handling and securing sensitive data such as PII and PHI in compliance with security and regulatory requirements.