Senior AI Engineer

Cynosure Corporate Solutions; Chennai District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Cynosure Corporate Solutions in Chennai invites an experienced Senior AI Engineer to design, develop, and deploy intelligent systems focusing on Agentic AI, Retrieval-Augmented Generation, and large-scale Generative AI architectures. You will build production-ready AI solutions and optimize performance.

The role requires 5–8 years of AI/ML experience, proficiency in Python and ML frameworks, and hands-on cloud experience with AWS and GCP.

Qualifications

• 5–8 years of experience in AI/ML engineering or related roles.
• Strong hands-on experience with Agentic AI, RAG, IR, and LLM-based systems.
• Proficiency in Python and ML/AI frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Experience with cloud platforms, preferably AWS and GCP.
• Strong understanding of model development, evaluation, and optimization.

Responsibilities

• Design, develop, and deploy Agentic AI systems and Generative AI solutions.
• Build and implement RAG and Information Retrieval pipelines for real-world use cases.
• Develop and integrate Large Language Models into production systems.
• Perform model evaluation, experimentation, and continuous improvement.
• Optimize model performance, scalability, and inference efficiency.
• Develop AI solutions using Python and modern ML/AI frameworks.
• Work with cloud platforms to deploy and manage AI workloads.
• Collaborate with engineering and product teams to translate requirements into AI-driven solutions.
• Apply prompt engineering techniques to improve LLM outputs.
• Maintain documentation and best practices for AI model development and deployment.

Skills

Agentic AI

RAG

IR

LLM-based systems

Tools

Python

TensorFlow

PyTorch

Scikit-learn

AWS

GCP

Job description

Cynosure Corporate Solutions | Full time

Cynosure Corporate Solutions is a human capital services company. Our focus is to provide Executive Search, Recruitment, Training, Temporary Staffing services, Statutory Compliance's, and other HR aligned services. We understand the business goals of our clients and their need to align human resources to these goals. We are committed to provide high quality manpower in accordance to global standards and their requirements. Our candidates stand testimony to our professional competency.

We work with clients in IT/ITES, Manufacturing, Automobile, Health, Telecom, Media.

Job Description

We are seeking an experienced Senior AI Engineer to design, develop, and deploy intelligent systems with a strong focus on Agentic AI, Retrieval-Augmented Generation (RAG), and large-scale Generative AI architectures. The role involves building production-ready AI solutions, optimizing model performance, and collaborating with cross-functional teams to deliver scalable, high-impact AI systems.

Key Responsibilities:

• Design, develop, and deploy Agentic AI systems and Generative AI solutions
  
• Build and implement RAG and Information Retrieval pipelines for real-world use cases
  
• Develop and integrate Large Language Models into production systems
  
• Perform model evaluation, experimentation, and continuous improvement
  
• Optimize model performance, scalability, and inference efficiency
  
• Develop AI solutions using Python and modern ML/AI frameworks
  
• Work with cloud platforms to deploy and manage AI workloads
  
• Collaborate with engineering and product teams to translate requirements into AI-driven solutions
  
• Apply prompt engineering techniques to improve LLM outputs
  
• Maintain documentation and best practices for AI model development and deployment
  

Requirements

• 5–8 years of experience in AI/ML engineering or related roles
  
• Strong hands-on experience with Agentic AI, RAG, IR, and LLM-based systems
  
• Proficiency in Python and ML/AI frameworks such as TensorFlow, PyTorch, and Scikit-learn
  
• Experience with cloud platforms, preferably AWS and GCP
  
• Strong understanding of model development, evaluation, and optimization
  
• Ability to work independently and deliver under tight timelines
  
• Immediate to 20 days notice period preferred
  
• Candidates from JNTU Hyderabad to be avoided as per hiring guidelines