AI Engineer

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

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