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Senior AI Engineer

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Hybrid

Senior AI Engineer

Academian India

Senior AI Engineer

Skills

Google Cloud PlatformSQL QueriesData EngineeringDeep LearningDockerPythonData SciencePyTorchTensorFlowKafkaDatabricksMachine LearningAIAWSKubernetesNLP / Natural Language ProcessingPySparkComplianceAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Hybrid

Published on:

24 August 2026

What they need


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 (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

About Academian Website: www.academian.comAcademian, 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.

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