AI Engineer - GenAI & Agentic Systems at Nagainfo (via email) – Kerala

AI / ML · Technopark, Trivandrum

AI Engineer - GenAI & Agentic Systems

Nagainfo (via email) · Kerala · Full Time
KERALA● ACTIVEFULL TIME
Job Type
💼 Full Time
Location
📍 Kerala
Source
Technopark, Trivandrum
Overview

Module No 2505, 5th Floor, Yamuna Building, Technopark Phase III , 695583

We are hiring an experienced AI Engineer (GenAI & Agentic Systems) for a high-impact enterprise transformation initiative for our client project.The role focuses on designing and implementing advanced AI-powered solutions using multi-agent architectures, LLM orchestration, and secure enterprise integrations.

The ideal candidate will have strong full-stack expertise (Node.js & React) along with hands-on experience in Agentic AI systems, Retrieval-Augmented Generation (RAG), and vector databases.

5+ years of full-stack software engineering experience with hands-on GenAI implementation experience

Opportunity to build enterprise-grade Agentic AI / Multi-Agent systems

Opportunity to build enterprise-grade Agentic AI / Multi-Agent systems

Work on LLM integrations with structured private data sources

Work on LLM integrations with structured private data sources

Design and implement RAG-based AI architectures

Design and implement RAG-based AI architectures

Exposure to secure AI deployments in regulated environments

Exposure to secure AI deployments in regulated environments

Hands-on experience with LangChain / LangGraph orchestration frameworks

Hands-on experience with LangChain / LangGraph orchestration frameworks

Work on high-impact transformation initiatives in enterprise platforms

Work on high-impact transformation initiatives in enterprise platforms

Design and implement end-to-end multi-agent AI workflows

Design and implement end-to-end multi-agent AI workflows

Integrate LLMs with private structured data (databases, APIs, enterprise systems)

Integrate LLMs with private structured data (databases, APIs, enterprise systems)

Build modular AI agents capable of reasoning, tool usage, and task delegation

Build modular AI agents capable of reasoning, tool usage, and task delegation

Ensure explainability, traceability, and compliance in AI-driven outputs

Ensure explainability, traceability, and compliance in AI-driven outputs

Design, test, and optimize prompts for predictable enterprise outcomes

Design, test, and optimize prompts for predictable enterprise outcomes

Implement guardrails, validation layers, and fallback mechanisms

Implement guardrails, validation layers, and fallback mechanisms

Develop evaluation frameworks to measure hallucination, accuracy, and performance

Develop evaluation frameworks to measure hallucination, accuracy, and performance

Develop scalable backend services using Node.js (Express/NestJS)

Develop scalable backend services using Node.js (Express/NestJS)

Build secure, responsive front-end applications using React & TypeScript

Build secure, responsive front-end applications using React & TypeScript

Create RESTful APIs and microservices to expose AI capabilities

Create RESTful APIs and microservices to expose AI capabilities

Embed AI workflows into existing enterprise platforms

Embed AI workflows into existing enterprise platforms

Integrate AI services using secure API frameworks

Integrate AI services using secure API frameworks

Ensure data privacy, compliance, and role-based access control

Ensure data privacy, compliance, and role-based access control

Deploy AI solutions in enterprise-grade environments

Deploy AI solutions in enterprise-grade environments

Implement multi-agent orchestration using LangChain / LangGraph

Implement multi-agent orchestration using LangChain / LangGraph

Work with vector databases (Redis preferred)

Work with vector databases (Redis preferred)

Implement Retrieval-Augmented Generation (RAG) systems

Implement Retrieval-Augmented Generation (RAG) systems

Build data ingestion and embedding pipelines for structured/unstructured data

Build data ingestion and embedding pipelines for structured/unstructured data

Strong expertise in Node.js and React (TypeScript preferred)

Strong expertise in Node.js and React (TypeScript preferred)

Hands-on experience building and deploying LLM-powered applications

Hands-on experience building and deploying LLM-powered applications

Proven experience with Agentic AI / Multi-Agent workflows

Proven experience with Agentic AI / Multi-Agent workflows

Experience with LangChain / LangGraph

Experience with LangChain / LangGraph

Strong understanding of Vector Databases (Redis preferred)

Strong understanding of Vector Databases (Redis preferred)

Experience implementing RAG architectures

Experience implementing RAG architectures

Deep knowledge of Prompt Engineering

Deep knowledge of Prompt Engineering

Experience in secure AI deployments within regulated domains (Banking/Trade/Finance preferred)

Experience in secure AI deployments within regulated domains (Banking/Trade/Finance preferred)

Experience in Trade Finance / Treasury / Capital Markets platforms

Experience in Trade Finance / Treasury / Capital Markets platforms

Exposure to LLMOps, model evaluation frameworks, or fine-tuning

Exposure to LLMOps, model evaluation frameworks, or fine-tuning

Experience with Docker, Kubernetes, and CI/CD pipelines

Experience with Docker, Kubernetes, and CI/CD pipelines

Knowledge of AI governance and risk management frameworks

Knowledge of AI governance and risk management frameworks

Interested candidates may send their CVs to mail@nagainfo.com

Requirements
Module No 2505, 5th Floor, Yamuna Building, Technopark Phase III , 695583
We are hiring an experienced AI Engineer (GenAI & Agentic Systems) for a high-impact enterprise transformation initiative for our client project.The role focuses on designing and implementing advanced AI-powered solutions using multi-agent architectures, LLM orchestration, and secure enterprise integrations.
The ideal candidate will have strong full-stack expertise (Node.js & React) along with hands-on experience in Agentic AI systems, Retrieval-Augmented Generation (RAG), and vector databases.
5+ years of full-stack software engineering experience with hands-on GenAI implementation experience
Opportunity to build enterprise-grade Agentic AI / Multi-Agent systems
Work on LLM integrations with structured private data sources
Design and implement RAG-based AI architectures
Exposure to secure AI deployments in regulated environments
Hands-on experience with LangChain / LangGraph orchestration frameworks
Work on high-impact transformation initiatives in enterprise platforms
Design and implement end-to-end multi-agent AI workflows
Integrate LLMs with private structured data (databases, APIs, enterprise systems)
Build modular AI agents capable of reasoning, tool usage, and task delegation
Ensure explainability, traceability, and compliance in AI-driven outputs
Design, test, and optimize prompts for predictable enterprise outcomes
Implement guardrails, validation layers, and fallback mechanisms
Develop evaluation frameworks to measure hallucination, accuracy, and performance
Develop scalable backend services using Node.js (Express/NestJS)
Build secure, responsive front-end applications using React & TypeScript
Create RESTful APIs and microservices to expose AI capabilities
Embed AI workflows into existing enterprise platforms
Integrate AI services using secure API frameworks
Ensure data privacy, compliance, and role-based access control
Deploy AI solutions in enterprise-grade environments
Implement multi-agent orchestration using LangChain / LangGraph
Work with vector databases (Redis preferred)
Implement Retrieval-Augmented Generation (RAG) systems
Build data ingestion and embedding pipelines for structured/unstructured data
Strong expertise in Node.js and React (TypeScript preferred)
Hands-on experience building and deploying LLM-powered applications
Proven experience with Agentic AI / Multi-Agent workflows
Experience with LangChain / LangGraph
Strong understanding of Vector Databases (Redis preferred)
Experience implementing RAG architectures
Deep knowledge of Prompt Engineering
Experience in secure AI deployments within regulated domains (Banking/Trade/Finance preferred)
Experience in Trade Finance / Treasury / Capital Markets platforms
Exposure to LLMOps, model evaluation frameworks, or fine-tuning
Experience with Docker, Kubernetes, and CI/CD pipelines
Knowledge of AI governance and risk management frameworks
Interested candidates may send their CVs to mail@nagainfo.com
Node.js TypeScript Redis Docker Kubernetes
CAREERLOOKAI / ML  ·  KERALA

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