AI Engineer

Posted Yesterday
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Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
In-Office
Mid level
Artificial Intelligence • Industrial • Automation • Manufacturing
The Role
Build and fine-tune domain-specific LLMs, develop AI agents, chatbots, and knowledge assistants, and integrate AI modules with AWS, backend, edge, and cloud systems. Collaborate with DevOps, MLOps, and data engineering teams to deploy models into production. Monitor model performance, maintain and iterate on solutions, and ensure scalability and reliability for packaging and manufacturing applications.
Summary Generated by Built In

About the Role

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

Key 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.
  • Monitor model performance, iterate, maintain models, ensure scalability & reliability.

 

Required Qualifications & Skills

  • Bachelor’s / Master’s in Computer Science / AI / Data Science.
  • 3–5 years experience in AI/ML, specifically with language models.
  • Strong experience in LLM fine-tuning, prompt engineering.
  • Expertise in AWS (Sagemaker, Lambda, EC2, etc.).
  • Familiarity with DevOps / CI/CD, containerization (Docker, Kubernetes).


Benefits
  • Competitive salary and incentives.
  • Opportunities for professional growth and learning.
  • Collaborative and dynamic work environment.
  • Exposure to large-scale government and PSU projects
  • Health & Accidental Insurance
  • 36 Annual Leaves (15 EL, 10 PTO, 6 ML, 5 RH)
  • Six-month appraisal cycle


Skills Required

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or Data Science
  • 3-5 years of experience in AI/ML, specifically with language models
  • Strong experience with LLM fine-tuning and prompt engineering
  • Expertise in AWS, including SageMaker, Lambda, and EC2
  • Familiarity with DevOps and CI/CD
  • Familiarity with containerization using Docker and Kubernetes
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The Company
85 Employees
Year Founded: 2021

What We Do

INGSOL is an engineering and industrial technology company delivering innovative solutions for packaging and other industrial applications. It provides consulting, technical support, installation, commissioning, maintenance, retrofit upgrades, automation, Industry 4.0, digital transformation, and IIoT services. Its mission is to improve operational performance, efficiency, sustainability, and competitiveness by helping manufacturers modernize equipment and production systems and build smarter, more connected factories.

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