Senior Developer - Technical - AI

Value Creed; Hyderabad; On-site; INR 1,800,000 - 2,500,000; Full time

Job summary

Value Creed is seeking an experienced Azure AI Engineer in Hyderabad to design, build, deploy, and support secure generative AI solutions on Microsoft Azure. You will translate business requirements into reliable AI services using Azure OpenAI, retrieval-augmented generation, and agentic workflows.

The role involves collaborating with product, data, security, and platform teams to deliver observable, cost-conscious, and enterprise-ready AI applications across the stack.

Qualifications

• 3+ years of software engineering experience, including 1+ year in cloud AI/ML or generative AI.
• Hands-on experience with Azure OpenAI, Azure AI Search, and Azure AI services.
• Strong Python skills with REST APIs, async services, prompt engineering, and SDKs.
• Experience with embeddings, chunking, vector/hybrid search, reranking, citations, and evaluation.
• Experience with function calling, tools, routing, state, memory, and agent frameworks.
• Experience building secure APIs and microservices using FastAPI or similar frameworks.
• Knowledge of prompt-injection protection, PII handling, content safety, and output validation.
• Familiarity with RBAC, Managed Identity, Key Vault, VNets, Private Link, and enterprise security.
• Experience with CI/CD, Azure Monitor, Application Insights, performance, and cost monitoring.
• Working knowledge of Model Context Protocol and secure tool integration.
• Azure-related bachelor’s degree or equivalent; relevant certifications preferred.

Responsibilities

• Build and integrate Azure OpenAI solutions using model APIs, prompt templates, streaming responses, structured outputs, and robust error handling.
• Design RAG pipelines covering document ingestion, chunking, embeddings, Azure AI Search, hybrid retrieval, reranking, citations, and evaluation.
• Develop agentic workflows with function calling, tool use, routing, state, memory, and human-in-the-loop controls.
• Expose AI capabilities through secure asynchronous APIs and microservices using FastAPI or equivalent enterprise backend frameworks.
• Deploy AI applications to Azure App Service, Azure Functions, or AKS and support environment configuration, secrets, scaling, and release automation.
• Apply responsible AI controls including prompt-injection defenses, PII handling, content filtering, output validation, and auditability.
• Implement monitoring for latency, token usage, cost, failures, quality, and drift using Azure Monitor and Application Insights.
• Collaborate with networking and security teams on managed identities, RBAC, Key Vault, VNets, private endpoints, and enterprise data isolation.

Education

Bachelor’s degree in Computer Science or Engineering

Azure AI/Solutions Architect certification

Tools

Azure OpenAI

Azure AI Search

Azure AI services

FastAPI

Python

REST APIs

Async services

Embeddings

Vector/hybrid search

RBAC

Managed Identity

Key Vault

VNets

Private Link

Application Insights

Azure Monitor

CI/CD

React/Next.js

Streamlit

Gradio

Infrastructure as Code

Job description

We are seeking an experienced Azure AI Engineer. The Azure AI Engineer designs, builds, deploys, and supports secure generative AI solutions on Microsoft Azure. This intermediate-level role translates business requirements into reliable AI services using Azure OpenAI, retrieval-augmented generation, agentic workflows, and production-grade APIs. The engineer works with product, data, security, and platform teams to deliver observable, cost-conscious, and enterprise-ready solutions.

Key Responsibilities

• Build and integrate Azure OpenAI solutions using model APIs, prompt templates, streaming responses, structured outputs, and robust error handling.
• Design RAG pipelines covering document ingestion, chunking, embeddings, Azure AI Search, hybrid retrieval, reranking, citations, and evaluation.
• Develop agentic workflows with function calling, tool use, routing, state, memory, and human-in-the-loop controls.
• Expose AI capabilities through secure asynchronous APIs and microservices using FastAPI or equivalent enterprise backend frameworks.
• Deploy AI applications to Azure App Service, Azure Functions, or AKS and support environment configuration, secrets, scaling, and release automation.
• Apply responsible AI controls including prompt-injection defenses, PII handling, content filtering, output validation, and auditability.
• Implement monitoring for latency, token usage, cost, failures, quality, and drift using Azure Monitor and Application Insights.
• Collaborate with networking and security teams on managed identities, RBAC, Key Vault, VNets, private endpoints, and enterprise data isolation.

Required Skills & Qualifications

• 3+ years of software engineering experience, including 1+ year in cloud AI/ML or generative AI.
• Hands-on experience with Azure OpenAI, Azure AI Search, and Azure AI services.
• Strong Python skills with REST APIs, async services, prompt engineering, and SDKs.
• Experience with embeddings, chunking, vector/hybrid search, reranking, citations, and evaluation.
• Experience with function calling, tools, routing, state, memory, and agent frameworks.
• Experience building secure APIs and microservices using FastAPI or similar frameworks.
• Knowledge of prompt-injection protection, PII handling, content safety, and output validation.
• Familiarity with RBAC, Managed Identity, Key Vault, VNets, Private Link, and enterprise security.
• Experience with CI/CD, Azure Monitor, Application Insights, performance, and cost monitoring.
• Working knowledge of Model Context Protocol and secure tool integration.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• Azure AI/Solutions Architect certification and experience with React/Next.js, Streamlit, Gradio, SaaS, or infrastructure as code