We are seeking an experienced Senior AI Engineer to spearhead the development and deployment of cutting-edge AI solutions. The ideal candidate will have strong foundations 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, LangGraph, LangChain, Graph Databases, and open-source LLMs.
This role involves designing and implementing advanced AI capabilities, building real-time data pipelines, integrating with modern cloud AI platforms, and mentoring junior engineers 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 in Computer Vision, NLP, and Generative AI.
- Fine-tune and deploy open-source large language models (LLMs) and private models for EdTech applications.
- Implement RAG (Retrieval-Augmented Generation) systems combining retrieval with generative models.
- Leverage LangGraph and LangChain for orchestration, multi-step workflows, and stateful agent design.
- Data Engineering & Integration:
- Develop and integrate real-time data pipelines and event-driven architectures using Kafka, Spark, or PySpark.
- Build secure, scalable, and cloud-native AI solutions using AWS Bedrock, SageMaker, Google Vertex AI, Azure ML (AML), Azure AKS, and related services.
- Implement MLOps/LLMOps pipelines for efficient deployment, monitoring, and scaling of AI models.
- AI Infrastructure & Tools:
- Work with modern AI toolkits and frameworks such as Hugging Face Transformers, MLflow, and Databricks.
- Develop prompt engineering strategies and optimize LLMs for improved accuracy and relevance.
- Contribute to internal AI frameworks and toolkits for accelerated adoption across teams.
- Leadership:
- Mentor and guide junior engineers, fostering innovation and skill development.
- Collaborate with cross-functional teams to align AI strategies with business goals.
- Promote best practices in coding, testing, documentation, and model lifecycle management.
Requirements
- Experience:
- 3+ years in AI/ML system development and deployment in production environments.
- Proven track record of designing AI systems in cloud environments and working with data-intensive pipelines.
- Technical Skills:
- Strong Python proficiency (async programming, multi-step workflows).
- Expertise in machine learning and deep learning frameworks: TensorFlow, PyTorch, Scikit-learn.
- Proficiency with tools like Hugging Face, LangChain, LangGraph, OpenAI API, and Bedrock API.
- Hands-on experience with ETL/ELT workflows, data transformations, and SQL (data modeling, normalization, optimization).
- Knowledge of RAG architectures, Graph Databases, and MCP (Model Context Protocol).
- Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and cloud AI platforms (AWS, GCP, Azure).
- Domain Knowledge:
- Understanding of EdTech standards like LTI, xAPI, QTI, and SCORM.
- Familiarity with adaptive learning systems and educational content pipelines.
- Knowledge of workflows in K-12, higher education, and corporate learning environments 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
- Opportunity to lead AI initiatives that shape the future of education technology.
- Work in a collaborative, mission-driven environment with a focus on innovation.
- Engage with impactful projects and cutting-edge AI technologies.
- Competitive salary, benefits, and opportunities for professional growth.
Employee Benefits
- Health Insurance: Employee + Spouse + Two Children + Parents
- GPA Coverage for Employee
- Hybrid Work Model
- Compliance: PF and Gratuity
