Artificial Intelligence Engineer

Job Title AI Developer – Agentic & Generative AI Applications Experience

: 5– 9 Years Location :

Bangalore, Chennai, Hyderabad, Pune Notice Perio d : Immediate to 45 days

Job Summary We are seeking a hands-on

AI Developer

with deep expertise in

AI and Generative AI (GenAI)

technologies to design, build, and deploy

agentic applications . The role focuses on automating workflows, enhancing decision-making, and delivering intelligent user experiences across multiple domains such as

HR, Finance, Healthcare, and Recruitment . You will develop autonomous agents powered by

LLMs , integrated with cloud platforms and enterprise systems.

Mandatory Skills Strong proficiency in

Python

for backend and AI development Experience with

Agentic Frameworks

such as

LangGraph, AutoGen, CrewAI , or similar Proficiency in at least one

Cloud Platform

and its GenAI services: AWS

(Bedrock, Lambda, Cognito, SageMaker, Inferentia) Azure

(Azure OpenAI) GCP

(Vertex AI) Proven experience in designing and building

AI/ML systems , including: GenAI agents RAG (Retrieval-Augmented Generation) pipelines LLM orchestration Experience with

agent evaluation , scoring functions, and debugging tools Strong knowledge of

containerization and deployment

using

Docker, Kubernetes , and

CI/CD pipelines Experience integrating AI systems with

MCP servers , APIs, and enterprise data sources Data Engineering

experience with: Vector databases Graph databases Data ingestion pipelines Understanding of

GDPR, CCPA , and

Responsible AI

principles including bias mitigation and explainability

Preferred Skills AI/ML certifications from

AWS, Azure, or Google Cloud

Roles & Responsibilities Build and deploy

agentic applications

using LLMs and agentic frameworks Develop

MCP-compatible servers

and integrate AI agents with enterprise systems such as

ERP, CRM, and HCM

platforms Fine-tune models and optimize agent workflows for

performance, scalability, and reliability Design and implement

agent evaluation pipelines

and scoring logic Conduct

functional, regression, and adversarial testing

of AI agents Implement

observability dashboards , monitoring, and feedback loops for continuous improvement Collaborate with cross-functional teams including

product managers, data scientists, and business stakeholders Participate in

solution demos, technical walkthroughs, and stakeholder discussions

Ideal Candidate Profile Strong problem-solving mindset with hands-on development experience Ability to work across domains and adapt AI solutions to business use cases Excellent communication skills for technical and non-technical stakeholders Passion for building scalable, responsible, and production-ready AI systems