Job Title - AI Engineer + AWS
Primary Skills - GenAI, Azure, Machine Learning, Data Science, Python.
Experience Level - 5yrs-12yrs
Location - Bangalore / Bengaluru, Bhubaneswar Chennai - Tamil Nadu, Coimbatore, Hyderabad, Kolkata, Lucknow Mumbai - Powai, Mumbai Navi Mumbai, Noida, Pune.
About the Role
We are seeking a highly skilled
Generative AI Developer
to design and implement cutting-edge AI solutions. This role involves building enterprise-grade applications leveraging
LLMs
RAG pipelines
, and
Azure cloud services
Key Responsibilities
Design & Development :
Build and deploy
Generative AI applications
using
Python
FastAPI
Azure Durable Functions
, and
Azure OpenAI Services
RAG Pipelines :
Architect and implement
Retrieval-Augmented Generation (RAG)
workflows for enterprise AI solutions.
End-to-End AI Projects :
Manage full lifecycle of Generative AI projects, including
data ingestion
model integration
evaluation
, and
refinement
Integration with Azure Services :
Connect AI / ML search and data services such as
Azure Cognitive Search
Cosmos DB
, and other Azure-native tools.
Automation & Scalability :
Automate critical components of the RAG workflow ensuring
production-grade performance
and
scalability
Model Evaluation :
Validate and fine-tune
Generative AI outputs
for accuracy, relevance, and compliance with
Responsible AI
practices.
Monitoring & Security :
Implement
monitoring
observability
, and
guardrails
to ensure responsible and secure use of AI technologies.
Collaboration : Work closely with
cross-functional teams
to deliver innovative AI solutions.
Required Skills & Qualifications
Strong programming experience in
Python
, including frameworks such as
FastAPI
and
Flask
Deep understanding of
Generative AI
LLMs
, and
RAG methodologies
Proficiency in
Azure cloud services
, especially
Azure OpenAI
Functions
AI Search
, and
Cosmos DB
Hands-on experience with
machine learning
deep learning
, and
natural language processing (NLP)
Familiarity with
ML / DL frameworks
such as
TensorFlow
PyTorch
, and libraries like
scikit-learn
spaCy
, etc.
Solid knowledge of algorithms including
GPTs
CNNs
RNNs
k-NN
Naive Bayes
SVM
, and
Decision Forests
Experience in evaluating and fine-tuning
LLM performance
and implementing
Responsible AI
practices.
Soft Skills
Excellent Communication :
Ability to convey complex ideas clearly and effectively.
Team Collaboration :
Strong interpersonal skills to work seamlessly with cross-functional teams.
Documentation & Knowledge Sharing :
Skilled in creating clear documentation and promoting knowledge transfer within the team.
Educational Qualification
Bachelor’s or master’s degree in computer science
or equivalent.
Certifications
GCP Professional Cloud Developer
Microsoft Azure Certified Developer
Aws Engineer • Delhi, India