Artificial Intelligence Engineer

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

• 4+ years of experience in AI/ML.
• Proven expertise in designing and deploying AI solutions in production environments.

Technical Skills

• Strong proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• Hands-on experience with tools like Hugging Face, OpenAI API, and Google AI tools.
• In-depth understanding of core ML algorithms (regression, KNN, clustering, etc.) and deep learning models.
• Familiarity with open-source LLM development and deployment
• Experience with RAG architectures, Graph Databases, and LLMOps practices.
• Expertise in CI/CD pipelines, containerization (Docker, Kubernetes), and cloud AI platforms (AWS, Google Cloud, Azure).

Domain Knowledge

• Familiarity with EdTech standards (LTI, xAPI, QTI) and adaptive learning systems is a strong plus.

Soft Skills

• Exceptional leadership and team mentoring abilities.
• Strong problem-solving skills and excellent communication for technical and non-technical stakeholders.

Education

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

Why Join Us

• Drive AI initiatives shaping the future of education technology.
• Work in a collaborative, innovation-focused environment.
• Competitive salary, comprehensive benefits, and opportunities for professional growth.