We are looking for a hands-on Generative AI Technical Architect who will own the end-to-end architecture of enterprise-scale, knowledge-intensive, agentic AI systems.

Company: Prodapt

Role: Generative AI Technical Architect

Location: Chennai, India

Experience:

1+ years building and shipping production RAG/CAG systems used by 100K+ daily active users

Key Skills:

LangChain
LlamaIndex
CrewAI
AutoGen
Haystack
DSPy
Retrieval-Augmented Generation (RAG)
Corrective/Controllable-Augmented Generation (CAG)
multi-agent frameworks
long-term memory systems
NL2SQL engines
Small Language Model (SLM)
dense retrieval
sparse retrieval
hybrid search
re-ranking
sentence transformers
late interaction models
vector databases
Python
async frameworks
FastAPI
graph databases
Kubernetes

Role Focus:

Architect and own the enterprise GenAI platform with advanced RAG/CAG pipelines
Design and scale multi-agent / agentic workflows
Build production-grade long-term and short-term memory systems
Lead architecture of enterprise Knowledge Bases
Own NL2SQL / Text-to-SQL architecture
Design and deploy Small Language Models (SLM) for on-device, low-latency, or cost-sensitive agent use cases
Define the standard GenAI framework stack
Build observability, tracing, and evaluation frameworks
Establish governance
Performance engineering
Drive GenAI platform roadmap
Conduct architecture reviews
Mentor senior engineers

Nice to have:

Previously defined the GenAI/RAG/agent stack for a unicorn or large enterprise
Contributions to LangChain, LlamaIndex, Haystack, or RAGAS open-source repositories
Built enterprise knowledge bases processing 10M+ documents with sub-second retrieval latency
Experience with controllable generation (CAG), guided generation, and structured output enforcement

Generative AI Technical Architect

Skills Required

Description

Experience:

Key Skills:

Role Focus:

Nice to have:

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