Generative AI Engineer

JOB DESCRIPTION

Python Developer - Generative AI & Azure

SN

Required Information

Details

Role

Python Developer - Generative AI & Azure

Primary Skills

Python Development; azure

Secondary Skills

UI Development; Web-Based Application Development; Agentic AI Knowledge

Location

Bangalore, Hyderabad

Detailed Skill and Role Requirements

Must Have Technical / Functional Skills

• Strong hands-on Python development experience covering object-oriented programming, reusable modules, exception handling, logging, unit testing, performance optimization and secure coding.
• Production experience developing REST APIs and microservices using FastAPI, Flask or Django.
• Hands-on Generative AI development using prompt engineering, model integration, embeddings, vector search and Retrieval-Augmented Generation (RAG).
• Experience integrating Large Language Models through managed platforms or APIs, preferably Amazon Bedrock or approved enterprise model services.
• Practical Agentic AI knowledge, including tool/function calling, workflows, memory, planning, orchestration, guardrails and human-in-the-loop controls.
• Working knowledge of AWS services such as Lambda, API Gateway, S3, ECS/EKS, Bedrock, SageMaker, DynamoDB/RDS, CloudWatch, IAM, Secrets Manager, Step Functions and SQS/SNS.
• Experience with relational or NoSQL databases, Git, CI/CD, Docker and deployment automation.
• Understanding of API security, IAM, encryption, secrets management, privacy, responsible AI and secure enterprise-data handling.
• Strong debugging and analytical skills across applications, cloud integrations, databases and model responses.Secondary / Good-to-Have Skills
• UI development using React, Angular or similar frameworks with HTML, CSS and JavaScript/TypeScript.
• Web-based application development and front-end integration with APIs and AI services.
• Knowledge of LangChain, LangGraph, LlamaIndex or equivalent orchestration frameworks.
• Exposure to OpenSearch, pgvector, Pinecone, Weaviate, FAISS or another vector-search solution.
• Knowledge of GenAI evaluation covering relevance, groundedness, hallucination control, safety, latency and cost.
• Exposure to observability, MLOps/LLMOps and automated testing of AI-enabled applications.Roles & Responsibilities
• Design, develop, test and maintain scalable Python applications, APIs and cloud-native services.
• Build GenAI solutions using approved models, RAG patterns, prompt templates, embeddings and vector stores.
• Develop agentic workflows connecting models with approved tools, APIs, data sources and business processes.
• Implement safeguards for confidential data, access control, prompt injection, output validation, auditability and responsible AI.
• Deploy and operate AWS workloads with appropriate security, resiliency, monitoring, logging and cost controls.
• Create reusable components and integrations for web-based and AI-enabled applications.
• Write unit, integration and functional tests; perform code reviews and maintain technical documentation.
• Troubleshoot incidents, identify root causes and implement preventive improvements.
• Collaborate with architects, product owners, UI developers, DevOps, data teams and business stakeholders.
• Participate in Agile planning, estimation, stand-ups, demos, retrospectives and releases.
• For the 8+ year position, lead solution design, review complex implementations and mentor developers.