AI Engineer

Jupitice Justice Technologies Private Limited; Chandigarh; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A technology solutions company based in Chandigarh seeks an experienced AI Engineer. The successful candidate will design, develop, and deploy scalable AI solutions, focusing on model fine-tuning and agentic AI frameworks. With a strong research mindset, the role involves building end-to-end AI/ML pipelines and optimizing production-ready systems. Candidates must have 5+ years of experience in AI/ML, a strong proficiency in Python, and familiarity with tools like PyTorch and TensorFlow. A Bachelor's or Master's degree in a relevant field is required.

Qualifications

• 5+ years of AI/ML experience.
• Strong Python programming skills.
• Expertise in model fine-tuning (PEFT techniques).
• Hands-on experience with agentic AI frameworks.
• Strong understanding of ML algorithms (regression, clustering, ensembles).
• Experience building end-to-end ML pipelines.
• Knowledge of MLOps and model lifecycle management.

Responsibilities

• Design and implement end-to-end AI/ML pipelines including data ingestion, training, evaluation, deployment, and monitoring.
• Build scalable production-ready AI systems.
• Optimize models for performance, scalability, and cost.
• Develop and deploy agentic AI systems and multi-agent workflows.
• Integrate AI systems into production with a focus on scalability and reliability.

Education

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field

Tools

PyTorch

TensorFlow

Keras

Docker

Kubernetes

Job description

AI Engineer

Chandigarh 5+ Years Experience Full-time

Job Summary

We are seeking a highly skilled AI Engineer with a strong research mindset to design, develop, and deploy scalable AI solutions.

The ideal candidate will have expertise in model fine-tuning (PEFT), agentic AI frameworks, classical ML, and end-to-end AI lifecycle management while building production-ready AI systems optimized for cost and performance.

Key Responsibilities

AI/ML Pipeline Development

• Design and implement end-to-end AI/ML pipelines including data ingestion, training, evaluation, deployment, and monitoring.
• Build scalable and production-ready AI systems.
• Develop continuous training and monitoring pipelines for improvement.

Model Development & Optimization

• Perform model fine-tuning using PEFT techniques for large models.
• Build models using classical ML and deep learning approaches.
• Optimize models for performance, scalability, and cost.
• Work with frameworks like PyTorch, TensorFlow, and Keras.

Agentic AI Systems

• Develop and deploy agentic AI systems and multi-agent workflows.
• Build autonomous reasoning systems using modern AI frameworks.

Deployment & Infrastructure

• Deploy AI solutions on cloud platforms (AWS, Azure, GCP).
• Integrate AI systems into production with focus on scalability and reliability.
• Use open-source tools to optimize cost and performance.

Skills & Expertise

Required Skills

• 5+ years of AI/ML experience.
• Strong Python programming skills.
• Experience with PyTorch, TensorFlow, and Keras.
• Expertise in model fine-tuning (PEFT techniques).
• Hands-on experience with agentic AI frameworks.
• Strong understanding of ML algorithms (regression, clustering, ensembles).
• Experience building end-to-end ML pipelines.
• Knowledge of MLOps and model lifecycle management.

Preferred Skills

• Experience with LLMs and Generative AI.
• Knowledge of RAG pipelines and vector databases.
• Experience with LangChain, LlamaIndex, or similar tools.
• Familiarity with Docker, Kubernetes, and microservices.
• Experience with real-time AI systems and streaming pipelines.

Additional Skills

Strong research and problem-solving mindset.

Ability to read and implement research papers.

Strong analytical and system design skills.

Collaboration with cross-functional teams.

Education

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.