Generative and Agentic AI Engineer

Role Overview

Design and build Generative AI capabilities and agentic AI workflows using NLP and Transformer-based models. Develop Retrieval-Augmented Generation (RAG) systems, advanced multi-agent architectures, and production-ready AI services that integrate with enterprise applications and data sources. Ensure solutions are scalable, secure, observable, and cost-efficient while leveraging cloud platforms such as AWS and Azure.

Responsibilities

• Design and develop Generative AI services with robust prompting, tool usage, function calling, and workflow orchestration.
• Implement caching, retry mechanisms, token optimization, and cost controls for LLM-powered applications.
• Build and optimize RAG pipelines, including document ingestion, chunking, embedding generation, indexing, reranking, and retrieval quality evaluation.
• Develop advanced agentic AI solutions using multi-tool, multi-step, and multi-agent architectures.
• Apply NLP and Transformer techniques such as fine-tuning, LoRA/adapters, and model distillation.
• Build production-grade Python services and APIs for AI-powered applications.
• Integrate vector databases such as FAISS and Pinecone with frameworks like LangChain and LlamaIndex.
• Implement streaming responses, guardrails, and monitoring for LLM applications.
• Deploy and operate AI solutions on AWS and Azure.

Requirements

• Strong understanding of Generative AI concepts, including LLMs, embeddings, and prompt engineering.
• Hands-on experience with Transformer models and the Hugging Face ecosystem.
• Expertise in NLP techniques, text processing, and evaluation methodologies.
• Experience designing and implementing RAG systems and advanced agentic AI workflows.
• Strong Python programming skills.
• Experience with AWS and/or Azure cloud platforms.
• Experience building APIs for AI and model-backed applications.
• Familiarity with vector databases such as FAISS and Pinecone.
• Experience with LangChain, LlamaIndex, or similar AI orchestration frameworks.
• Bachelor's, Master's, or equivalent degree in Computer Science, Electrical Engineering, or a related field.
• 4+ years of experience in AI Engineering, Generative AI, NLP, or related domains.

Skills

• Python
• LangChain
• AWS
• Pinecone
• Hugging Face

Benefits

• Food provided
• Health insurance
• Internet reimbursement
• Provident Fund
• Work from home