Artificial Intelligence Engineer

Job Title:

Experience:

Location:

Joining:

Key Responsibilities:

• Design, develop, and deploy

  Generative AI

  solutions for real-world applications.
• Work with

  advanced Large Language Models (LLMs)

  and build

  Retrieval-Augmented Generation (RAG)

  pipelines.
• Implement AI/ML models using

  Python

  with

  TensorFlow

  or

  PyTorch

  frameworks.
• Fine-tune

  Transformer-based architectures

  for domain-specific tasks.
• Collaborate with product and engineering teams to integrate AI solutions into production environments.
• Optimize model performance, scalability, and accuracy while maintaining cost-effectiveness.
• Stay updated with the latest research and trends in

  Gen AI, LLMs, and NLP

  .

Required Skills:

• Strong expertise in

  Generative AI

  and

  LLMs

  (GPT, LLaMA, etc.).
• Hands-on experience with

  RAG pipelines

  and vector databases.
• Proficiency in

  Python

  ,

  TensorFlow

  , and/or

  PyTorch

  .
• In-depth understanding of

  Transformer models

  and NLP concepts.
• Experience deploying models to

  cloud environments

  (AWS, Azure, GCP preferred).
• Ability to work in

  fast-paced environments

  with minimal supervision.

Good to Have:

• Knowledge of

  MLOps

  practices and CI/CD pipelines for ML models.
• Prior experience with

  fine-tuning open-source models

  .
• Exposure to

  LangChain

  ,

  LLMOps tools

  , or

  prompt engineering

  techniques.

Why Join Us?

• Opportunity to work on

  cutting-edge AI solutions

  with global impact.
• Collaborative and growth-driven work culture.
• Immediate joining means you’ll start contributing to

  live projects from day one

  .