AI Developer
EduBridge
Software Engineering, Data Science
Mumbai, Maharashtra, India
Posted on Mar 25, 2026
Job Title: AI / GenAI Developer
Experience
37 Years
Employment Type
Full-time
Job Summary
Seeking an AI / GenAI Developer to build and deploy advanced AI-powered systems focused on assessment intelligence, document processing, and candidate evaluation. The role requires strong expertise in Large Language Models (LLMs), prompt engineering, and scalable AI system development.
Key Responsibilities
AI System Development
Develop AI-powered solutions for assessment scoring, interview simulations, and skill evaluation
Design LLM-based systems for analyzing candidate responses and generating feedback
Build scalable AI pipelines for text, speech, and document processing
Document Intelligence
Develop document extraction systems using LLMs (e.g., GPT, Gemini)
Build structured data extraction from PDFs, images, and forms
Optimize prompts and workflows for high-accuracy data extraction
Assessment Intelligence
Develop Algorithms For
Skill gap detection
Role-fit prediction
Candidate scoring models
Improve reliability and accuracy of assessment systems using data-driven models
AI Integration
Integrate AI services into platforms such as LMS (e.g., ELITE LMS)
Work with APIs including OpenAI, Gemini, and HuggingFace
Build and deploy scalable AI pipelines and services
Research & Optimization
Research and evaluate emerging AI models and frameworks
Optimize AI model performance, scalability, and inference cost
Experiment with prompt engineering, fine-tuning, and RAG pipelines
Technical Skills Required
Programming
Strong proficiency in Python (mandatory)
Experience with REST APIs and backend integrations
AI / ML Frameworks
HuggingFace
LangChain
Transformers
PyTorch / TensorFlow
LLM & AI APIs
OpenAI / Gemini / Anthropic APIs
Prompt engineering
RAG (Retrieval-Augmented Generation) pipelines
Data Processing
Natural Language Processing (NLP)
Text analytics
Document AI / intelligent data extraction
Cloud / Infrastructure
AWS / GCP
Model deployment and API integrations
Scalable AI system design
Preferred Skills
Experience with speech analysis or interview evaluation systems
Experience in AI-driven education or assessment platforms
Experience building RAG-based systems
Knowledge of vector databases (FAISS, Pinecone)
What Success Looks Like in This Role
Within the first year, the AI / GenAI Developer will help build:
AI interview scoring engine for JREE
Document reader for automated data extraction
Skill gap analysis system
Role-fit prediction engine
AI-driven improvement recommendations
Qualifications
Bachelors / Masters in Computer Science, AI, Data Science, or related field
Experience
37 Years
Employment Type
Full-time
Job Summary
Seeking an AI / GenAI Developer to build and deploy advanced AI-powered systems focused on assessment intelligence, document processing, and candidate evaluation. The role requires strong expertise in Large Language Models (LLMs), prompt engineering, and scalable AI system development.
Key Responsibilities
AI System Development
Develop AI-powered solutions for assessment scoring, interview simulations, and skill evaluation
Design LLM-based systems for analyzing candidate responses and generating feedback
Build scalable AI pipelines for text, speech, and document processing
Document Intelligence
Develop document extraction systems using LLMs (e.g., GPT, Gemini)
Build structured data extraction from PDFs, images, and forms
Optimize prompts and workflows for high-accuracy data extraction
Assessment Intelligence
Develop Algorithms For
Skill gap detection
Role-fit prediction
Candidate scoring models
Improve reliability and accuracy of assessment systems using data-driven models
AI Integration
Integrate AI services into platforms such as LMS (e.g., ELITE LMS)
Work with APIs including OpenAI, Gemini, and HuggingFace
Build and deploy scalable AI pipelines and services
Research & Optimization
Research and evaluate emerging AI models and frameworks
Optimize AI model performance, scalability, and inference cost
Experiment with prompt engineering, fine-tuning, and RAG pipelines
Technical Skills Required
Programming
Strong proficiency in Python (mandatory)
Experience with REST APIs and backend integrations
AI / ML Frameworks
HuggingFace
LangChain
Transformers
PyTorch / TensorFlow
LLM & AI APIs
OpenAI / Gemini / Anthropic APIs
Prompt engineering
RAG (Retrieval-Augmented Generation) pipelines
Data Processing
Natural Language Processing (NLP)
Text analytics
Document AI / intelligent data extraction
Cloud / Infrastructure
AWS / GCP
Model deployment and API integrations
Scalable AI system design
Preferred Skills
Experience with speech analysis or interview evaluation systems
Experience in AI-driven education or assessment platforms
Experience building RAG-based systems
Knowledge of vector databases (FAISS, Pinecone)
What Success Looks Like in This Role
Within the first year, the AI / GenAI Developer will help build:
AI interview scoring engine for JREE
Document reader for automated data extraction
Skill gap analysis system
Role-fit prediction engine
AI-driven improvement recommendations
Qualifications
Bachelors / Masters in Computer Science, AI, Data Science, or related field