Artificial Intelligence Engineer

Job Title:

Experience:

Location:

Availability:

About the Role:

Applied AI Builder

As an Applied AI Builder, you’ll work on designing, developing, and deploying AI solutions across multiple domains, leveraging state-of-the-art models and frameworks. You will collaborate with cross-functional teams to build scalable applications that integrate GenAI, RAG (Retrieval-Augmented Generation), and vector-based search.

Key Responsibilities:

• Design and develop AI/GenAI applications using LLMs and frameworks like

  LangChain, Haystack

  , etc.
• Implement

  Retrieval-Augmented Generation (RAG)

  pipelines using

  vector databases

  and semantic search techniques.
• Build, fine-tune, and deploy ML and DL models using

  PyTorch, TensorFlow

  , or

  JAX

  .
• Develop robust, production-ready code in

  Python

  with reusable and scalable modules.
• Optimize and deploy models on cloud platforms such as

  AWS, GCP, or Azure

  .
• Collaborate with data engineers, product managers, and designers to deliver AI-driven features and services.
• Stay current with the latest research and advancements in GenAI, LLMs, and emerging ML technologies.

Required Skills & Experience:

• 3+ years

  of hands-on experience in

  Machine Learning, Deep Learning

  , and

  Python programming

  .
• Strong exposure to

  Generative AI

  and working with

  Large Language Models (LLMs)

  .
• Experience with

  Prompt Engineering

  ,

  LangChain

  , or

  Haystack

  .
• Proficiency with

  vector databases

  (e.g., FAISS, Pinecone, Weaviate, Milvus).
• Solid understanding of RAG-based architectures and semantic search.
• Familiarity with

  cloud platforms

  (AWS, GCP, or Azure) and deploying AI models at scale.
• Experience with at least one deep learning framework:

  PyTorch

  ,

  TensorFlow

  , or

  JAX

  .

Good to Have:

• Experience building AI-based chatbots or intelligent agents.
• Knowledge of model optimization techniques (quantization, pruning, distillation).
• Exposure to MLOps tools and workflows for scalable AI deployment.
• Published work, open-source contributions, or participation in AI competitions (e.g., Kaggle, Hugging Face).

Why Join Us?

• Work at the forefront of

  AI and Generative AI innovation

  .
• Build impactful, production-grade solutions that are deployed and used at scale.
• Collaborate with a highly skilled, passionate team in a

  fast-paced and agile environment

  .
• Opportunity for rapid growth and working on

  real-world AI applications

  across industries.