Senior Gen AI Engineer (7+)

Virtual Connect Solutions; Chennai District; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

Virtual Connect Solutions in Chennai, India is seeking an AI systems engineer to build production-grade Generative AI, Agentic AI, and RAG solutions. You will work with LangChain, LlamaIndex, Semantic Kernel, Python and FastAPI to deliver robust multimodal capabilities and document intelligence.

The role focuses on scalable vector databases, orchestration across multi-agent architectures, and close collaboration with stakeholders to deliver enterprise AI solutions with strong observability and

Qualifications

• Production-grade RAG or Agentic AI implementations.
• Structured document extraction and knowledge graph integrations.
• Multimodal AI solutions (Vision + Text).
• Enterprise AI solution development and stakeholder engagement.
• Vector Databases (OpenSearch, Pinecone).
• Azure AI Stack (Azure OpenAI, AI Search, Databricks).
• AWS AI Stack (Bedrock, SageMaker, OpenSearch).
• Multi-Agent Architectures and Orchestration.
• AI Evaluation & Observability (LangSmith, Ragas).
• Docker, Kubernetes, MLOps, CI/CD.
• Conversational AI and Document Intelligence Solutions.

Responsibilities

• Develop production-grade RAG/Agentic AI implementations.
• Integrate structured document extraction with knowledge graphs.
• Design multimodal AI solutions combining vision and text.
• Engage with stakeholders to deliver enterprise AI projects.
• Implement scalable vector databases and orchestration across multi-agent architectures.

Skills

Generative AI

Agentic AI

RAG Systems

Multimodal AI

Knowledge graphs

Stakeholder engagement

Tools

LangChain

LlamaIndex

Semantic Kernel

Python

FastAPI

OpenSearch

Pinecone

Azure OpenAI

SageMaker

Databricks

Docker

Kubernetes

Job description

• Generative AI, Agentic AI, and RAG Systems
• LangChain, LlamaIndex, Semantic Kernel
• Python and FastAPI
• LLM Fine-tuning, Prompt Engineering, LoRA, PEFT
• Vector Databases (OpenSearch, Pinecone)
• AWS AI Stack (Bedrock, SageMaker, OpenSearch)
• Multi-Agent Architectures and Orchestration
• AI Evaluation & Observability (LangSmith, Ragas)
• Conversational AI and Document Intelligence Solutions

• Generative AI, Agentic AI, and RAG Systems
• LangChain, LlamaIndex, Semantic Kernel
• Python and FastAPI
• LLM Fine-tuning, Prompt Engineering, LoRA, PEFT
• Vector Databases (OpenSearch, Pinecone)
• Azure AI Stack (Azure OpenAI, AI Search, Databricks)
• AWS AI Stack (Bedrock, SageMaker, OpenSearch)
• Multi-Agent Architectures and Orchestration
• AI Evaluation & Observability (LangSmith, Ragas)
• Docker, Kubernetes, MLOps, CI/CD
• Conversational AI and Document Intelligence Solutions

Preferred Experience

• Production-grade RAG or Agentic AI implementations
• Structured document extraction and knowledge graph integrations
• Multimodal AI solutions (Vision + Text)
• Enterprise AI solution development and stakeholder engagement
• Vector Databases (OpenSearch, Pinecone)
• Azure AI Stack (Azure OpenAI, AI Search, Databricks)
• AWS AI Stack (Bedrock, SageMaker, OpenSearch)
• Multi-Agent Architectures and Orchestration
• AI Evaluation & Observability (LangSmith, Ragas)
• Docker, Kubernetes, MLOps, CI/CD
• Conversational AI and Document Intelligence Solutions

Skills: aws,agentic ai,python