AIML Full-stack Developer Intern

AI/ML & Agentic AI Developer Intern

Agentic AI | RAG | LangChain | LangGraph | Multi-Agent Systems

Organisation: IKSC Knowledge Bridge ikscbandhan.in

Location: Pune / Hybrid

Experience: Fresher to 1 Year

Qualification: BE / BTech / BSc / BCA / MCA or equivalent

About IKSC Knowledge Bridge

IKSC Knowledge Bridge works at the intersection of career development, psychometrics, mentoring, relationship intelligence and technology.

Our key solution verticals include:

• Career Compass – career guidance, employability and professional growth
• Bandhan – Relationship Clarity and Psychometric Relationship Intelligence

We are developing intelligent digital platforms using AI, RAG, Agentic AI, automation and multi-agent architectures.

Role

We are looking for an AI/ML & Agentic AI Developer Trainee who wants to gain practical experience in building real AI applications rather than only completing courses or tutorial projects.

You will work on AI-enabled IKSC products under mentoring and technical guidance.

Knowledge / Hands-On Exposure Expected

Candidates should have basic understanding or training in some of the following:

• Basic Python
• Generative AI and LLM fundamentals
• Prompt engineering
• LLM APIs
• Agentic AI systems
• Creating AI agents and agent workflows
• Multi-agent / Family-of-Agents architectures
• Tool-calling and function-calling
• LangChain
• LangGraph
• RAG – Retrieval-Augmented Generation
• Embeddings and vector databases
• Document ingestion and chunking
• Semantic search and retrieval
• Conversation memory and context management
• Structured AI outputs
• API integration

Hands-on expertise in every area is not mandatory. Strong learning ability and conceptual clarity are more important.

What You Will Work On

You may contribute to:

• AI Companions
• Agentic AI workflows
• Specialist AI agents
• Multi-agent / Family-of-Agents systems
• Agent orchestration
• Career guidance agents
• Relationship intelligence agents
• RAG-based knowledge systems
• Document intelligence
• Prompt and context engineering
• Retrieval pipelines
• AI-powered question generation
• AI-generated reports and insights
• Tool-enabled agents
• Workflow automation
• Integration of AI with web applications and databases

You will learn how multiple agents, knowledge sources, tools and applications work together to create a complete AI system.

What You Will Get at IKSC

This opportunity is designed to bridge the gap between:

Learning AI → Building AI Systems → Solving Real Problems → Becoming Industry Ready

You will receive:

• Mentoring and coaching
• Hands-on work on real AI products
• Exposure to professional/pro AI and development tools
• Exposure to OGX and the IKSC technology ecosystem
• Opportunities to design and create AI agents
• Experience working with LangChain and LangGraph
• Hands-on exposure to RAG architectures
• Exposure to multi-agent orchestration
• Problem-solving assignments
• Integration of AI with APIs, databases and applications
• Experience across the complete AI application development lifecycle

You will experience:

Problem → Data → Knowledge Base → Prompt → Agent → Tools → RAG → Workflow → Testing → Evaluation → Application → Improvement

What We Expect

We are looking for candidates with:

• Strong curiosity about AI
• Analytical and logical thinking
• Problem-solving attitude
• Willingness to experiment and learn
• Basic programming ability
• Ability to learn independently
• Ownership and discipline
• Professional communication
• Willingness to accept feedback and improve

We do not expect you to know everything.

We expect you to learn fast, experiment intelligently and build responsibly.

Career Support

Candidates who demonstrate strong performance and contribution may receive:

• LinkedIn Recommendation
• Professional References for Interviews
• Resume and LinkedIn guidance
• AI project-presentation support
• Technical interview preparation
• Career mentoring

These benefits are based on actual performance and contribution.

Learn AI. Build Agents. Solve Problems. Create Intelligent Systems.