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

• Bachelors or masters degree in computer science or equivalent.

Certifications

• GCP Professional Cloud Developer
• Microsoft Azure Certified Developer