Artificial Intelligence Engineer

Role OverviewWe 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 ResponsibilitiesAI 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.RequirementsExperience4+ years of experience in AI/ML.Proven expertise in designing and deploying AI solutions in production environments.Technical SkillsStrong 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 deploymentExperience 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 KnowledgeFamiliarity with EdTech standards (LTI, xAPI, QTI) and adaptive learning systems is a strong plus.Soft SkillsExceptional leadership and team mentoring abilities.Strong problem-solving skills and excellent communication for technical and non-technical stakeholders.EducationBachelor’s or Master’s degree in Computer Science, AI, Data Science, or related fields.Why Join UsDrive AI initiatives shaping the future of education technology.Work in a collaborative, innovation-focused environment.Competitive salary, comprehensive benefits, and opportunities for professional growth.