AI Engineer

Madhifoundation

Chennai District

Presencial

INR 1.200.000 - 2.000.000

Jornada completa

14 días+

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Descripción de la vacante

Madhifoundation seeks a passionate AI Engineer to design, deploy, and scale AI-driven educational tools for low-resource settings. You will build agentic and multi-agent systems, integrate retrieval components, and ensure production-grade deployment with observability.

The role emphasizes practical, cost-aware solutions that work reliably in schools with limited infrastructure, balancing performance and accessibility for students and teachers.

Formación

  • Strong proficiency in Python and AI/ML development.
  • Hands-on experience with agentic architectures and multi-agent systems.
  • Experience using frameworks/tools such as LangChain and Langfuse.

Responsabilidades

  • Designing and implementing agentic and multi-agent AI architectures for complex problem-solving.
  • Developing and optimizing RAG-based and multimodal AI systems.
  • Building scalable AI pipelines using LangChain, Langfuse, and Python-based frameworks.
  • Deploying and managing AI systems in production environments with monitoring and evaluation pipelines.
  • Improving performance, latency, and cost-efficiency of existing AI systems.
  • Working with image, text, and multimodal data to build impactful educational tools.
  • Collaborating with cross-functional teams to translate real-world education challenges into AI solutions.

Conocimientos

Python
AI/ML development
Agentic architectures
Multi-agent systems
RAG-based AI
Multimodal data

Herramientas

LangChain
Langfuse

Descripción del empleo

We are looking for a passionate and mission-driven AI Engineer to join us in building impactful AI solutions that bridge gaps in the education system. This role focuses on designing and deploying intelligent, cost-effective systems that can operate reliably in low-resource school environments.

You will work at the intersection of AI innovation and real-world constraints , ensuring that advanced technologies are accessible, scalable, and meaningful for students and educators.

The Challenges You Will Help Solve in This Role
  • Building highly accurate AI systems that function effectively even with limited infrastructure (low bandwidth, low compute environments).
  • Designing solutions that balance performance, cost, and scalability for schools with constrained resources.
  • Creating robust AI pipelines that can handle multilingual, multimodal, and unstructured educational data.
  • Improving reliability and usability of AI systems for non-technical users (teachers, students) .
  • Creating robust observability and evaluation pipelines to ensure all releases and system changes are reliable, measurable, and continuously improving over time.
  • Continuously optimizing models and architectures to increase efficiency while reducing operational costs .
  • Designing, fine-tuning, and training AI models to improve accuracy, adaptability, and performance for real-world educational use cases.
3) The Job Description

As an AI Engineer, you will design, develop, and deploy AI-driven systems tailored for educational use cases. You will work on building agentic and multi-agent architectures, integrating retrieval systems, and ensuring production-grade deployment.

This role requires strong technical depth, problem-solving ability, and a deep understanding of how to adapt cutting-edge AI technologies to real-world challenges.

In This Role, Some of Your Responsibilities Will Include
  • Designing and implementing agentic and multi-agent AI architectures for complex problem-solving.
  • Developing and optimizing RAG-based and multimodal AI systems .
  • Building scalable AI pipelines using tools like LangChain , Langfuse , and Python-based frameworks.
  • Deploying and managing AI systems in production environments with monitoring and evaluation pipelines.
  • Improving performance, latency, and cost-efficiency of existing AI systems.
  • Working with image, text, and multimodal data to build impactful educational tools.
  • Collaborating with cross-functional teams to translate real-world education challenges into AI solutions.
You Will Thrive in This Role If You:
  • Are deeply motivated by solving real-world problems in education .
  • Enjoy working in constraint-heavy environments and turning limitations into innovation.
  • Have a strong bias for building practical, scalable solutions rather than just prototypes.
  • Think in terms of systems and architecture , not just models.
  • Are comfortable experimenting, iterating, and improving continuously.
  • Can balance technical excellence with usability and impact .
Mandatory Prerequisites Include:
  • Strong proficiency in Python and AI/ML development.
  • Hands-on experience with agentic architectures and multi-agent systems .
  • Experience using frameworks/tools such as LangChain and Langfuse
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