Senior AI Engineer

Position

Experience Required

Company

Work Location:

Role Overview

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:

• Bachelors 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

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