Senior AI Engineer

EXL Talent Acquisition Team; Dadri; On-site; INR 350,000 - 600,000; Full time

Job summary

EXL Talent Acquisition Team seeks an experienced AI/GenAI Engineer in Noida to design, develop, and deploy AI-driven solutions utilizing large language models. You will build scalable GenAI systems, fine-tune models, and deploy them in secure production environments on Azure or GCP.

The ideal candidate brings deep ML, GenAI model development, cloud infrastructure, and production deployment expertise, collaborating with data scientists, software engineers, and business stakeholders to deliver

Qualifications

• Bachelor’s degree in Engineering, Computer Science, AI/ML, Data Science, or related field.
• 10+ years of overall professional experience in software engineering, machine learning, or AI engineering.
• Minimum 3+ years of hands-on experience 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 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 (PII/PHI).

Responsibilities

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

Skills

Python

Generative AI

LLMs

Machine Learning

Education

Bachelor’s degree in Engineering, Computer Science, AI/ML, Data Science, or related field

Tools

Azure

GCP

ML pipelines

MLOps

Linux

Job description

• Experience (In Years) 6-9
• Job Location Noida

Job Description

We are seeking an experienced AI / Generative AI Engineer to design, develop, and deploy advanced AI-driven solutions leveraging large language models (LLMs) and modern Generative AI technologies. This role will focus on building scalable AI systems, deploying GenAI applications in production environments, and ensuring secure handling of sensitive data such as PII/PHI.

The ideal candidate will bring deep expertise in machine learning, generative AI model development, cloud-based AI infrastructure, and production deployment. The role requires strong collaboration with data scientists, software engineers, and business stakeholders to build reliable and responsible AI solutions that solve complex enterprise problems.

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.

Required Skills

• APM Tools (Application Performance Management)