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Generative AI Engineer
Location:India ( remote)
Employment Type: Full-time/ Contract
Salary - Market standard
Experience: 8-10 yrs
Job Overview
We are looking for a highly experienced Senior AI Engineer with deep expertise in Retrieval-Augmented Generation (RAG) and modern LLM-based systems. You will architect, build, and optimize AI solutions that integrate retrieval pipelines, vector search, and generative models to deliver high-accuracy, scalable, and enterprise-ready AI applications.
This role is ideal for an engineer who has deployed production-grade GenAI systems, understands prompt engineering, LLM orchestration, and MLOps, and can lead AI initiatives end-to-end.
Required Qualifications
Job ID: 141104553
Skills:
Gcp, Databricks, Azure, Python, AWS, embeddings, LLaMA, LLMs, Crew.ai, Claude, model orchestration, prompt engineering, AutoGen, LangGraph, Mistral, OpenAI, Gemini, LlamaIndex, synthetic datasets, agentic frameworks
Skills:
Aws Lambda, Python, Api Gateway, AWS, LangChain, Generative AI, AWS Bedrock, LLMs, RAG pipelines, Agent Core
Skills:
Dynamodb, AWS, Python, Nosql, Azure, Gcp, Docker, PostgreSQL, MongoDB, LangChain, FastAI, RAG systems, Weaviate, Hugging Face Transformers, Pinecone, OpenAI APIs, FAISS, Chroma, Generative AI
Skills:
Microservices, Lambda, Docker, Python, Api Gateway, Aws Services, Api Development, Amazon CloudWatch, REST, MLops, ECS, Cloud Infrastructure, Kubernetes, pgvector, Qdrant, vector databases, Pinecone, CI CD, object-oriented design, RAG Retrieval-Augmented Generation pipelines, Amazon Kendra, LangChain, Generative AI, Amazon Textract, EKS, AWS AI ML stack, AWS Secrets Manager, Amazon Bedrock, LlamaIndex
Skills:
Azure, Python, MLops, GPT, LlamaIndex, LangChain, Gemini, LLaMA, OpenAI APIs
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