We are seeking a passionate and hands-on Applied AI Builder to join our team and drive innovation at the intersection of Generative AI, Machine Learning, and Cloud technologies. This role is ideal for someone with a strong foundation in ML/AI, practical experience with LLMs and GenAI frameworks, and a desire to solve real-world problems using cutting-edge tools and techniques.

As an Applied AI Builder, youll 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.