AI Engineer+ AWS

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 . You will work on end-to-end AI projects, ensuring scalability, security, and responsible AI practices.

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