Artificial Intelligence Engineer (Lead)

Role Overview

We are seeking an experienced AI Technical Lead to spearhead the development and deployment of cutting-edge AI solutions. The ideal candidate will possess a strong foundation in AI algorithms, hands-on expertise with machine learning and deep learning frameworks, and a forward-thinking approach to leveraging emerging AI technologies like AGENTIC AI, RAG, Graph Databases, and open-source LLMs. This role also involves guiding the team to deliver scalable, efficient, and impactful AI products aligned with the EdTech domain.

Key Responsibilities

• AI Model Development :
• Design, train, and deploy AI models for diverse use cases, including :
• Computer Vision : Image recognition, object detection, segmentation etc.
• Natural Language Processing (NLP) : Text classification, summarization, question-answering systems etc.
• Generative AI : Fine-tuning and deploying open-source large language models (LLMs) and Private Models.
• RAG (Retrieval-Augmented Generation) : Implement AI systems combining retrieval with generative models.
• Optimize AI models for performance, scalability, and accuracy using core algorithms (regression, KNN, SVM, etc.).
• Open-Source LLM Development :
• Develop and fine-tune open-source LLMs to cater to domain-specific needs.
• Deploy open-source LLMs effectively in production environments, ensuring scalability and low latency.
• Explore and implement open-source tools and frameworks like Hugging Face, LangChain, and Transformer libraries.
• Integration & Architecture :
• Integrate AI solutions with Vector / Graph db for advanced data relationships and queries.
• Implement and manage MLOps / LLMOps pipelines for efficient deployment, monitoring, and scaling of AI models.
• Leadership :
• Mentor and guide junior engineers, fostering innovation and skill development.
• Collaborate with cross-functional teams, including product management, data engineering, and software development, to align AI strategies with business goals.
• Infrastructure :
• Leverage cloud AI platforms (AWS SageMaker, Google Vertex AI, Azure AI) for scalable solutions.
• Adopt open-source frameworks and tools (e.g., TensorFlow, PyTorch, Hugging Face) for experimentation and development.
• Best Practices :
• Establish robust practices for coding, testing, and documenting AI solutions.
• Stay at the forefront of AI research and emerging trends like AGENTIC AI, RAG, and open-source LLM development.

Requirements

Experience

Technical Skills

Domain Knowledge

Soft Skills

Education

Why Join Us