Senior Developer - AI
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Before you apply
LocationHyderabad, India
Typefull-time
SenioritySenior
Experience3+ yrs
DepartmentDelivery
Company size51–200 people
PostedSep 8, 2026 · 1mo ago
Verified live1h ago
At a glanceSummarised by Seekless from the posting.
3+ years of software engineering experience
1+ year in cloud AI/ML or generative AI
Hands-on experience with Azure OpenAI
Hands-on experience with Azure AI Search
Hands-on experience with 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
Experience with React/Next.js, Streamlit, Gradio, SaaS, or infrastructure as code
Skills
Azure OpenAI
Azure AI Search
Azure AI services
Python
REST APIs
FastAPI
Azure App Service
Azure Functions
AKS
Azure Monitor
Application Insights
Azure Key Vault
Azure VM
Private Link
RBAC
Managed Identity
VNet
private endpoint
CI/CD
Model Context Protocol
React
Next.js
Streamlit
Gradio
SaaS
infrastructure as code
Role Summary
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
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Build and integrate Azure OpenAI solutions using model APIs, prompt templates, streaming responses, structured outputs, and robust error handling.
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Design RAG pipelines covering document ingestion, chunking, embeddings, Azure AI Search, hybrid retrieval, reranking, citations, and evaluation.
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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.
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Deploy AI applications to Azure App Service, Azure Functions, or AKS and support environment configuration, secrets, scaling, and release automation.
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Apply responsible AI controls including prompt-injection defenses, PII handling, content filtering, output validation, and auditability.
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Implement monitoring for latency, token usage, cost, failures, quality, and drift using Azure Monitor and Application Insights.
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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