AI Engineer

INGSOL; Dadri; On-site; INR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary and incentives

Opportunities for professional growth and learning

Collaborative and dynamic work environment

Exposure to large-scale government and PSU projects

Job summary

A tech company in India is seeking experienced AI professionals to develop AI agents and fine-tune LLM models. You will work on cloud integration and collaborate with cross-functional teams to deploy intelligent solutions. The ideal candidate has 3–5 years of AI/ML experience, with expertise in LLMs and a strong grasp of DevOps practices.

Qualifications

• 3–5 years experience in AI/ML, specifically with language models.

Responsibilities

• Develop, train, fine-tune LLM models for domain-specific tasks.
• Build AI agents, chatbots, and knowledge assistants.
• Integrate AI modules with backend, edge, or cloud systems (AWS).
• Work with DevOps / MLOps / data engineering teams to deploy models in production.

Skills

AI/ML experience

LLM fine-tuning

Prompt engineering

DevOps / CI/CD

Containerization (Docker, Kubernetes)

Education

Bachelor’s / Master’s in Computer Science / AI / Data Science

Job description

Overview

You will build AI agents, work on LLM fine-tuning, integratewith cloud systems (AWS), and help deploy intelligent solutions in packaging /manufacturing domains.

Key Responsibilities

• Develop, train, fine-tune LLM models fordomain-specific tasks.
• Build AI agents, chatbots, and knowledgeassistants.
• Integrate AI modules with backend, edge, or cloudsystems (AWS).
• Work with DevOps / MLOps / data engineering teamsto deploy models in production.

Required Qualifications & Skills

• Bachelor’s / Master’s in Computer Science / AI /Data Science.
• 3–5 years experience in AI/ML, specifically withlanguage models.
• Strong experience in LLM fine-tuning, promptengineering.
• Familiarity with DevOps / CI/CD, containerization(Docker, Kubernetes).
• Competitive salary and incentives.
• Opportunities for professional growth and learning.
• Collaborative and dynamic work environment.
• Exposure to large-scale government and PSU projects