Senior AI Engineer

Academian India; Pune District; Hybrid; INR 2,800,000 - 4,000,000; Full time

Benefits offered by this job

Health Insurance

Hybrid work model

GPA Coverage for Employee

PF and Gratuity

Job summary

Academian invites a Senior AI Engineer to lead AI development for EdTech products in Pune. You will design, train, and deploy AI models for computer vision, NLP, and generative AI, and implement RAG systems to enhance retrieval-augmented workflows.

You will build real-time data pipelines with Kafka, Spark, or PySpark, and deploy cloud-native AI solutions using AWS, GCP, and Azure, while mentoring junior engineers and advancing MLOps practices.

Qualifications

• 3+ years in AI/ML system development and deployment in production environments.
• Strong Python expertise and async programming.
• Experience with cloud AI platforms and data-intensive pipelines.

Responsibilities

• AI Model Development: Design, train, and deploy AI models for CV, NLP, and Generative AI.
• Fine-tune and deploy open-source LLMs and private models for EdTech.
• Implement RAG systems combining retrieval with generative models.
• Leverage LangGraph and LangChain for orchestration and multi-step workflows.
• Develop real-time data pipelines using Kafka, Spark, or PySpark.

Job description

Position

Senior AI Engineer

Experience Required

4+ Years

Company

Academian (EdTech Domain)

Work Location

Pune

Role Overview

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 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

About Academian

Website: www.academian.com Academian, a carve-out of the 22-year-old Intraedge Inc (www.intraedge.com), is a rapidly growing service, product, and learning development company specializing in EdTech. With 500+ team members, we deliver innovative solutions spanning LMS, CMS, custom software, cloud architecture, and digital learning. At Academian, you'll work on transformative projects that improve learning experiences globally. From K-12 to higher education, publishing, and workforce development, we are redefining education technology with a strong commitment to DEIB and innovation.