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 DeveloperMicrosoft Azure Certified Developer