Senior AI Engineer

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, Lang Graph, Lang Chain, 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  Lang Graph  and  Lang Chain  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, Sage Maker, 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:  Tensor Flow, PyTorch, Scikit-learn .
Proficiency with tools like  Hugging Face, Lang Chain, Lang Graph, 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