Gen AI Engineer

Project Overview

• Prestigious Client / Project: Working with a top telecom brand driving large-scale digital transformation. Project led by InnovationM, known for delivering enterprise-grade AI solutions
  Revolutionizing Technologies:: Work on cutting-edge Generative AI solutions using LLMs, RAG, LangChain, CrewAI, vector databases, and scalable Python APIsdriving real-world impact through NLP, semantic search, and intelligent automationAgile Development. Strong delivery processes and tools. Long term project.

Role and Responsibilities

• Develop and fine-tune LLMs using techniques like RAG, transfer learning, or domain-specific adaptation
• Build AI agents using frameworks like LangChain or CrewAI to manage dynamic and multi-step workflows
• Work with vector databases (e.g., Pinecone) to enable semantic search and retrieval
• Design and maintain ETL pipelines and ensure smooth data preprocessing and transformation
• Implement NLP solutions for tasks like intent detection, sentiment analysis, and content generation
• Develop backend APIs and services using Python frameworks like FastAPI or Flask
  Contribute to scalable microservice-based architectures

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 2 to 4 years in AI/ML development and backend system
• Machine Learning Fundamentals: Strong grasp of algorithms, model training, evaluation, and tuning
• Generative AI Models: Experience working with LLMs, RAG architecture, and fine-tuning techniques
• LangChain or Similar Frameworks: Hands-on experience building AI workflows using toolkits like LangChain
• Natural Language Processing (NLP): Proficiency in text analytics, classification, tokenization, embeddings
• Vector Databases: Practical use of tools like Pinecone, FAISS, or similar for retrieval-augmented generation
• Big Data Handling: Ability to work with large datasets, optimize storage, and processing pipelines
• SQL/NoSQL: Experience in querying and managing structured and unstructured data
• Python & API Development: Proficiency in Python and frameworks like FastAPI or Flask
• ETL & Data Preprocessing: Strong understanding of building pipelines for clean and efficient data processing
• Soft Skills: Strong problem-solving, communication, and collaboration abilities
  Good-to-Have Skills:
• Agentic AI Tools: Exposure to CrewAI or similar platforms for orchestrating multi-agent interactions
• Content Structuring: Experience in clustering, topic modeling, or organizing unstructured data
• ETL Enhancements: Advanced optimization techniques for faster and more efficient pipelines

  Domain Exposure:

• Prior work on projects involving customer insights, chat summarization, or sentiment analysis
  

Notes

Domain Knowledge Customer Service / AI