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