Overall 6+ Years (Minimum 3-4 Years in AI/ML/ GenAI Development)
About the Role
We are seeking a highly skilled GenAI Full Stack Engineer with strong expertise in AI/ML development, agentic AI solutions, and Azure cloud services. The ideal candidate will have deep experience with GenAI frameworks, data manipulation libraries (NumPy, Pandas), and hands-on implementation of large language models (LLMs).
Key Responsibilities
Design, develop, and deploy
AI/ML and GenAI solutions
, including LLM-based applications and agentic AI systems.
Implement and manage
FastAPI
services for scalable AI application development.
Perform advanced
data manipulation, analysis, and preprocessing
using
NumPy and Pandas
.
Lead
MLOps
workflows including model training, testing, deployment, and monitoring.
Collaborate with cross-functional teams to deliver AI-driven products and features.
Maintain and optimize
CI/CD pipelines
and ensure robust version control using Git.
Work with
Azure AI services
, integrating and deploying AI models on Azure infrastructure.
Apply
DevOps best practices
using Docker, Kubernetes, Jenkins, and Terraform for containerization and infrastructure automation.
Required Skills & Qualifications
Experience:
Overall 6+ years of software engineering with at least 3-4 years in
AI/ML/GenAI development
(AI/ML Engineer, GenAI Developer, or Data Scientist).
Programming:
Strong expertise in
Python
with hands-on experience in
GenAI frameworks
(LangChain, LLaMA, OpenAI API, etc.).
Data Handling:
Proficiency in
NumPy and Pandas
for data manipulation and analysis.
LLM Expertise:
Proven track record in implementing and managing
large language models (LLMs)
.
API Development:
Experience with
FastAPI
for backend/API development.
Cloud:
Hands-on experience with
Azure AI services
(Agentic AI on Azure is mandatory).
MLOps/DevOps:
Strong knowledge of CI/CD, Docker, Kubernetes, Jenkins, and Terraform.
Familiarity with
automated testing
and scalable AI architecture.
Job Types: Full-time, Permanent
Pay: ₹1,900,000.00 - ₹2,600,000.00 per year
Benefits:
Work from home
Work Location: Remote
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