Generative AI Engineer
- Posted 16 days ago
- Be among the first 10 applicants
Job Description
Exp - 6+ yrs
Location - Bangalore, Chennai, Hyderabad, Pune
Required Skills
Strong expertise in Python and backend development
Deep understanding of RAG pipelines and LLM architectures
Hands-on experience with LangChain / LangGraph
Strong experience with Vector Databases (Pinecone, Weaviate, FAISS, etc.)
Proven experience deploying applications on cloud platforms
(AWS/GCP/Azure)
Experience with Docker, Kubernetes, CI/CD pipelines
Solid understanding of system design and scalability
Hands on exp with React, C#, Dot Net
More Info
Key Skills
LangChain
cloud platforms
Pinecone
LangGraph
Vector Databases
FAISS
CI CD pipelines
LLM architectures
RAG pipelines
Weaviate
About Company
Skills:
Python, Ml, Apis, Banking Domain, Deep Learning, FastAPI, Real time decisioning systems, NLP Modelling, CI CD, fintech, MLOps practices, data-sharing frameworks, GCP cloud, enterprise SaaS platforms, fine-tuning, embedding third-party AI tools, transfer learning, Agents, Ai, prompt engineering, Gen AI, Agentic AI, Open Banking standards, Transformers, Conversational AI
Skills:
Api Integration, Quality assurance, Javascript, Databricks, Testing Frameworks, Python, Prompt engineering, Microsoft Foundry, Microsoft 365 Copilot, DevOps integration, Security and Responsible AI practices, Conversational AI design principles, Advanced RAG architectures, Workflow orchestration, Azure AI services, Copilot Studio
Skills:
Redis, Postgres, FastAPI, Python, LangChain, vector databases, PDF parsing, GPT-4V, LlamaIndex, LLaVA, Haystack, multimodal models
Skills:
Azure, Rest Apis, AWS, Pytorch, FastAPI, Python, Gcp, Git, Flask, LLMs, MLflow, Hugging Face Transformers, LangChain, Weights Biases, Generative AI, CI CD for ML, Transformers
Skills:
Databricks, AWS, Python, Azure, Gcp, OpenAI, synthetic datasets, Crew.ai, LlamaIndex, Claude, Gemini, custom agent evaluation frameworks, embeddings, model orchestration, MCP Model Context Protocol, AutoGen, LLaMA, A2A Agent-to-Agent, Mistral, prompt engineering, LangGraph