Gen AI - Engineering Lead
Hybrid Chennai Full-time Senior AI Engineering
At a glance
Senior AI Engineering role at Fa Ewjt Saasfaprod1. Chennai · full-time.
Pay not stated AI Engineering salary
RoleAI Engineering
SenioritySenior
LocationChennai
WorkplaceHybrid
EmploymentFull-time
PostedJun 15, 2026 · 4mo ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Build server-side application logic, maintain databases, and connect front-end work to the application
- Develop and put LLM and machine learning solutions into use, including fine-tuning, prompt design, RAG, and model tuning
- Run AI pipelines and GenAI applications in production on Azure, GCP, or other listed cloud platforms
- Create agent-based AI systems and data pipelines, then evaluate models using large datasets
- Protect sensitive data and tune models and infrastructure for performance, scale, reliability, and cost
What you bring
- A degree in engineering, computer science, AI/ML, data science, or another related technical field
- At least ten years in software engineering, machine learning, or AI engineering, including three years with GenAI and LLMs
- Strong Python skills and a track record of fine-tuning, deploying, and improving large language models
- Production experience with GenAI, Linux systems, and Azure, GCP, or another listed cloud platform
- Experience building ML pipelines with MLOps practices and protecting PII or PHI to meet compliance requirements
Who this fits
This senior engineering role suits someone who can lead hands-on GenAI development and bring AI systems into production. The role is based in Chennai, India, with a hybrid work arrangement.
From the employer
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.
- 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.
- 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.