APPLYDJINN
Vacancy catalog
SoftServe
Open role>14 days

Senior Full Stack/AI Agents Engineer

SoftServeUnited Arab Emirates
Work model
Hybrid
Experience
3+ years
Employment
Full Time
Compensation
Not disclosed
Technology signal
27 tags

Technology context

27

Parsed from the vacancy text; ordered by relevance to this role.

AI AgentsJavaScriptAILLMDistributed SystemsFull StackMCPDatabasesAzurePythonRAGKubernetesCloud NativeCloudReliability EngineeringBackendDevOpsDockerFrontendScalabilityMicroservicesRESTCI/CDNoSQLSQLHTMLCSS

Full listing

Role description

ABOUT THE ROLE

In this role, you will design and build next-generation applications powered by AI agents on the Microsoft Azure ecosystem. You'll own features end-to-end, from responsive front-end experiences to scalable back-end services and agent orchestration layers, building applications for, driven by, and consumed by AI agents - combining strong full stack fundamentals with cutting-edge agentic AI development.

RESPONSIBILITIES

  • Design and build full stack, production-grade applications based on AI agents and multi-agent architectures.
  • Develop modern, responsive web UIs supporting conversational experiences, real-time streaming agent responses, and dashboards for monitoring agents.
  • Build robust back-end services and APIs (REST, gRPC, MCP) in Python (FastAPI), enabling agent-to-agent and agent-to-system communication.
  • Develop agentic workflows using frameworks such as Semantic Kernel, AutoGen, LangChain/LangGraph, or Azure AI Agent Service.
  • Integrate LLMs via Azure OpenAI Service, including prompt engineering, function/tool calling, and RAG pipelines.
  • Design chunking and indexing strategies for RAG pipelines (semantic chunking, hybrid search, re-ranking) to optimize retrieval quality.
  • Build and maintain evaluation pipelines for LLM/agent outputs (e.g., RAGAS, promptfoo, or custom eval frameworks) to measure accuracy, relevance, and reliability.
  • Design cloud-native solutions using Azure Functions, AKS, Container Apps, Cosmos DB, and Azure AI Search, including data models across SQL and NoSQL stores.
  • Implement secure, observable, cost-optimized systems using Azure Monitor, Key Vault, Entra ID, and CI/CD pipelines with infrastructure-as-code.

REQUIREMENTS

  • 8+ years of full stack engineering experience, with at least 3 years on the Azure stack.
  • Strong back-end skills in Python, with a solid grasp of distributed systems and microservices.
  • Hands-on experience building applications with LLMs and agent frameworks (Semantic Kernel, AutoGen, LangGraph, or similar).
  • Strong front-end proficiency in modern frameworks, typed JavaScript, semantic HTML/CSS, and responsive, accessible UI design.
  • Experience with Azure OpenAI, Azure AI Foundry, and vector databases (Azure AI Search, Cosmos DB vector search).
  • Proven experience with RAG architectures, embeddings, chunking/indexing strategies, prompt orchestration, and tool/function calling.
  • Hands-on experience with evaluation frameworks for LLM/agent outputs and defining quality metrics for AI systems.
  • Experience designing end-to-end agentic solution architectures (multi-agent orchestration, tool/agent boundaries, error-handling and fallback strategies).
  • Experience building real-time features (WebSockets, SignalR, SSE) for streaming AI/agent responses.
  • Solid understanding of authentication/authorization (OAuth2, Entra ID) and DevOps practices (CI/CD, IaC, Docker/Kubernetes).