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AI / Full-Stack Tech Intern
Job ID: #
202504
Company: Ampsys Consulting Pvt. Ltd. Location: Bangalore (Hybrid)
Duration: 3–6 months (extendable)
Stipend: 5k to 10K As per performance & experience
About Us Ampsys Consulting is a Bangalore-based technology and fintech solutions provider building modern SaaS products for the wealth management and AIF industry. We work across .NET, Angular, PostgreSQL/SQL Server and are expanding our capabilities in AI/LLM-based automation, especially around document intelligence and financial data extraction.
Role Overview
As an AI/Full-Stack Tech Intern, you will: - Build modules to read, parse, extract and validate data from various PDF financial statements. - Use AI/LLM models, OCR libraries, and rule-based engines. - Implement backend data pipelines. - Support APIs and UI workflows. Explore and integrate document AI tools.
Key Responsibilities
1. PDF & Document Processing - Detect document type (CAS, CML, MF statements, etc.) - Extract structured data using OCR + LLMs + parsing libraries.
2. AI/LLM Development - Prompt engineering - Classification + extraction models
3. Backend & APIs - Build or extend .NET APIs - ETL and transformation logic
4. Frontend Support - Angular components for upload and review
5. Data Engineering - SQL, validations, normalization Required Skills - Python or C# - LLM APIs (OpenAI / Azure) - PDF parsing & OCR - REST APIs SQL basics
Good to Have - .NET Core - Angular - Knowledge of MF/PMS/AIF domain - LangChain / HF models Soft Skills - Quick learner - Problem-solving - Independent ownership
Who Should Apply - Students or fresh graduates from CS/IT backgrounds.
What You Will Learn - Real-world financial document parsing - AI-driven ETL pipelines Enterprise-grade backend and UI development
How to Apply Send resume to hr@ampsys.in
Company:
Ampsys Consulting Pvt. Ltd.
Location:
Bangalre
Company Size:
1-20
Job Type:
Experience
0-6 months
Requirements
Python or C# - LLM APIs (OpenAI / Azure) - PDF parsing & OCR - REST APIs SQL basics Good to Have - .NET Core - Angular - Knowledge of MF/PMS/AIF domain - LangChain / HF models


