Generative AI Engineer

24 hours ago

Noida, Uttar Pradesh, India ID4 Consultancy Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Roles 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.


• 3 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 finetuning 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 multiagent interactions


•Content Structuring: Experience in clustering, topic modeling, or organizing

unstructured data


•ETL Enhancements: Advanced optimization techniques for faster and more

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