Gen AI Developer

IntraEdge Technology; Bengaluru; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

IntraEdge Technology is looking for an experienced AI Engineer to design, build, and deploy AI-powered applications leveraging Generative AI and RAG approaches. You will integrate LLMs with enterprise data, build agent-based workflows, and optimize deployment across scalable services.

The role requires strong Python skills, hands-on experience with LLMs and RAG architectures, and familiarity with vector databases and semantic search.

Qualifications

• Strong Python programming experience.
• Hands-on with LLMs and Generative AI frameworks.
• Experience with retrieval-augmented generation (RAG) architectures.
• Experience building agent-based workflows / multi-agent systems.
• Familiarity with frameworks like LangChain, LlamaIndex, Semantic Kernel.
• Experience with vector databases (Pinecone, FAISS, Weaviate).
• Strong understanding of APIs, microservices, and system design.

Responsibilities

• Design and develop RAG-based applications integrating LLMs with enterprise data sources.
• Build agentic AI systems for task automation and decision-making workflows.
• Develop pipelines for data ingestion, embedding, indexing, and retrieval.
• Integrate LLM APIs into scalable applications.
• Optimize prompts, context handling, and model performance.
• Implement vector databases and semantic search solutions.
• Collaborate with product, engineering, and data teams to deliver AI use cases.
• Ensure scalability, reliability, and performance of AI systems.
• Stay updated with latest advancements in Generative AI.

Skills

Python

LLMs

Generative AI

RAG architectures

Agent-based workflows

LangChain

vector search

APIs

microservices

Tools

LangChain

LlamaIndex

Semantic Kernel

Pinecone

FAISS

Weaviate

Job description

Job Description:

We are looking for an experienced AI Engineer with strong expertise in Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI systems. The ideal candidate will design, build, and deploy intelligent applications powered by LLMs, integrating structured and unstructured data sources to deliver scalable AI-driven solutions.

Key Responsibilities:

• Design and develop RAG-based applications integrating LLMs with enterprise data sources
• Build and orchestrate Agentic AI systems for task automation and decision-making workflows
• Develop pipelines for data ingestion, embedding, indexing, and retrieval
• Integrate LLM APIs (OpenAI, Azure OpenAI, etc.) into scalable applications
• Optimize prompts, context handling, and model performance
• Implement vector databases and semantic search solutions
• Collaborate with product, engineering, and data teams to deliver AI use cases
• Ensure scalability, reliability, and performance of AI systems
• Stay updated with latest advancements in Generative AI

Required Skills:

• Strong programming experience in Python
• Hands-on experience with LLMs and Generative AI frameworks
• Expertise in RAG architectures (retrieval, embeddings, vector search)
• Experience building Agent-based workflows / multi-agent systems
• Familiarity with frameworks like LangChain, LlamaIndex, Semantic Kernel
• Experience with vector databases (Pinecone, FAISS, Weaviate, etc.)
• Strong understanding of APIs, microservices, and system design
• Experience with REST APIs and integration patterns