Senior Backend Developer

Agentic Ai
Valencia, Spain
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Working hours
Regular working hours
Languages
English, Spanish

Tech stack

ASP.NET .NET Framework Application Programming Interfaces (APIs) Artificial Intelligence User Authentication Microsoft Azure Cloud Storage Code Review Databases Relational Databases DevOps Document Management Systems
+35 more
Entity Framework Github Design of User Interfaces Python (Programming Language) Key Management PostgreSQL Log Analysis SQL Azure Node.Js Role-Based Access Control Azure Active Directory Azure Machine Learning Search Technologies SQL Databases Web Applications Data Storage Technologies Data Ingestion Azure Data Factory Large Language Models Multi-Agent Systems Model Validation Generative AI Backend Fastapi Build Management Containerization AI Platforms Kubernetes Cosmos DB Azure AKS Virtual Agents Restful APIs Docker Service Stack Microservices

Job description

Our client, a top IT consultancy, is partnering with a leading financial services organisation, to build a dedicated Generative AI hub in Valencia. This new unit will serve as the engine for organisation’s AI-driven transformation, designing and delivering intelligent solutions that modernise financial processes, automate decision-making, and unlock new value across the organisation., * Design and build the backend services and APIs that power the organisation’s Generative AI platform, using Node.js or .NET 8 (ASP.NET Core / EF Core)

  • Implement data ingestion, chunking, cleaning and quality checks pipelines using Azure Data Factory and Azure Document Intelligence
  • Build and maintain vector indexing and semantic search capabilities via Azure Cognitive Search and LightRAG
  • Develop embedding generation pipelines using Azure OpenAI
  • Design and manage multi-layer data storage: Azure SQL, PostgreSQL, Azure Cosmos DB (agent memory), Azure Blob Storage
  • Build and integrate agent tooling using Langchain, Langgraph, FastAPI, A2A, AG-UI and MCP
  • Implement the AIDA orchestration and coordination layer using Mastra (Multi-Agentic Orchestrator)
  • Ensure platform observability and alerting via Azure Monitor and Azure Log Analytics
  • Implement evaluation pipelines for LLM outputs using Azure ML
  • Apply guardrails and output validation using Azure OpenAI and Azure Machine Learning
  • Implement authentication and RBAC using Azure Active Directory
  • Manage secrets and configuration securely via Azure Key Vault
  • Contribute to the technical culture of the hub: code reviews, documentation, architecture decisions, and engineering best practices

Technology Stack

Backend Core

  • Node.js or.NET 8 (ASP.NET Core, Entity Framework Core)
  • RESTful API design ·Event-driven architectures

Azure Data & AI Services

  • Azure Data Factory - ingestion, chunking, cleaning, DQ checks
  • Azure Document Intelligence - document parsing and understanding
  • Azure Cognitive Search - vector indexing and semantic search
  • Azure OpenAI - LLM access, embedding generation, guardrails and output validation
  • Azure Machine Learning - model evaluation and ML guardrails
  • LightRAG - retrieval engine for RAG pipelines

Storage & Databases

  • Azure SQL ·PostgreSQL - relational data and metadata storage
  • Azure Cosmos DB - short-term and long-term agent memory
  • Azure Blob Storage - file and document storage

Agent Infrastructure

  • Langchain & Langgraph - agent orchestration and chaining
  • FastAPI - lightweight API layer for agent tooling
  • A2A, AG-UI, MCP - agent-to-agent communication and UI protocols
  • Mastra - Multi-Agentic Orchestrator (non-Azure, self-hosted)

Platform & DevOps

  • Azure Kubernetes Service (AKS) - agent runtime hosting
  • Azure Active Directory - authentication & RBAC
  • Azure Key Vault - secrets and keys management
  • Azure Monitor · Azure Log Analytics - observability
  • Azure App Service · Azure Static Web Apps - UI/UX deployment, * Founding engineer role - shape the architecture and culture of a brand-new GenAI hub from day one
  • Work at the cutting edge of Agentic AI applied to real financial services use cases
  • Backed by the organisation’s global engineering community, tooling and career development programmes
  • Valencia-based hub with a collaborative, senior-weighted team
  • Direct exposure to the company’s transformation agenda and senior stakeholders

Requirements

  • 5+ years of backend development experience in production environments
  • Strong proficiency in Node. xqbhyrx xkdbapo js OR .NET 8 / ASP.NET Core (or both)
  • Solid hands-on experience with Azure cloud services: ADF, Cognitive Search, OpenAI, SQL, Cosmos DB
  • Experience building RESTful APIs and microservices in regulated or high-availability environments
  • Familiarity with vector databases, embeddings and RAG-based architectures
  • Understanding of Agentic AI patterns: multi-agent systems, tool use, orchestration, memory layers
  • Experience with containerisation (Docker / Kubernetes / AKS)
  • Proficiency in SQL (Azure SQL, PostgreSQL)
  • Strong understanding of security best practices: authentication, RBAC, secrets management
  • Experience with CI/CD pipelines and DevOps practices on Azure
  • Ability to work autonomously in a greenfield, fast-paced environment
  • Fluent English - working language for all technical documentation and ceremonies
  • Location - preferably Valencia, but open to other locations with availability to travel occasionally to Valencia; remote in that case.

Nice to Have

  • Experience with Python / FastAPI for agent tooling layers
  • Knowledge of Langchain, Langgraph or similar LLM orchestration frameworks
  • Familiarity with MCP (Model Context Protocol), A2A or AG-UI protocols
  • Prior experience in a hub or centre-of-excellence environment
  • Background in financial services, banking or fintech
  • GitHub certification
  • Spanish language skills

About the company

We are looking for a Senior Backend Developer to be one of the founding engineers of this hub. You will help define the technical foundations of an Agentic AI platform built on Azure, contributing from day one to architecture decisions, infrastructure setup, and the delivery of production-grade AI-powered services for the financial sector.

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