Senior Full-Stack AI Engineer

SPD Technology; España; Presencial; EUR 95.000 - 135.000; Jornada completa

Descripción de la vacante

SPD Technology in Spain seeks a Senior Full‑Stack AI Engineer to turn proofs of concept into secure, scalable production apps. You’ll own the full stack from business needs to deployment, integrating AI capabilities and cloud‑native architecture.

Expect to work with LangChain, LangGraph, and multi‑agent workflows to automate complex processes. You’ll collaborate across CTO Office, FinOps, Operations, Sales and Pre‑Sales, delivering practical products with high ownership and pragmatic technical

Formación

• 5+ years of full‑stack engineering experience in production.
• Ability to refactor unorganized scripts into maintainable systems.
• Deep Python (FastAPI) and modern TS/JS framework expertise.
• Hands-on AWS infrastructure with IaC tools (Terraform/CDK).
• Production experience with LangChain, LangGraph, RAG and tool integration.
• CI/CD and containerization with Docker/Kubernetes; automation mindset.
• High autonomy and ownership in ambiguous environments.
• Strong system design, relational/noSQL databases, and security.

Responsabilidades

• Turn CTO Office proofs‑of‑concept into scalable, production apps.
• Own projects end‑to‑end from discovery to deployment and support.
• Collaborate with CTO Office, FinOps, sales and pre‑sales stakeholders.
• Architect modern platforms with frontends, Python backends, APIs.
• Build AI workflows with LangChain/LangGraph and agent orchestration.
• Establish CI/CD pipelines, IaC, tests, logging, monitoring, and recovery.
• Enforce production security, secret management, and access controls.
• Set pragmatic engineering standards and clear documentation.

Conocimientos

Production experience

Prototype refactoring

Frontend & backend

AWS & IaC

Agentic AI capabilities

DevOps & automation

High autonomy

System design

Herramientas

Terraform

CDK

Docker

Kubernetes

GitHub Actions

Descripción del empleo

About the Role

We are looking for a Senior Full-Stack AI Engineer to turn validated proofs of concept, experimental scripts, and early-stage AI or automation solutions into secure, scalable, and reliable production applications. You will take ownership of solutions end-to-end: from understanding business needs and shaping requirements to architecture, full-stack development, cloud deployment, production support, and continuous improvement. The role combines modern full-stack engineering, Python backend development, cloud-native architecture, and applied AI. You will build web applications, APIs, integrations, automation workflows, and agentic AI systems using technologies such as LangChain and LangGraph. You will work closely with the CTO Office, FinOps, Operations, Sales, and Pre-Sales teams to turn loosely defined ideas into practical products that automate manual work and deliver measurable operational value. Initial initiatives may include FinOps automation, enterprise AI enablement, meeting assistants, internal productivity tools, and other AI-powered platforms. This is an end-to-end engineering role with a high degree of ownership. You will be expected to make pragmatic technical decisions, work independently, and operate solutions in production without relying on dedicated QA, DevOps, or SRE support for everyday delivery.

Technical Stack

Languages & Frameworks: Python (FastAPI, Django, Flask), TypeScript, Vue.js, React, Nuxt.js, Next.js, Vite, Tailwind CSS

AI & Agentic Frameworks: LangChain, LangGraph, RAG, Multi-agent Orchestration, LLM Tool/Function Calling, MCP Servers, AI Skills

Cloud & Serverless: AWS (Lambda, ECS/EKS, DynamoDB, S3, RDS, API Gateway), Amazon Bedrock, Azure AI Foundry

Data & Architecture: REST APIs, Relational (PostgreSQL, MySQL) and NoSQL Databases

IaC & DevOps: GitHub Actions (Automated AI-assisted PR reviews), AWS CDK, Terraform, CloudFormation, Docker, Kubernetes

Observability & Operations: CloudWatch, Prometheus, ELK Stack

Security & Auth: OAuth 2.0, SAML, JWT, SSL/TLS, Secret Management

Agentic Dev Tools: Cursor, Claude Code, Windsurf.

Responsibilities

• Turn Concepts into Reality: Transform CTO Office proofs of concept, scripts, and experimental solutions into scalable, production-ready applications.
• Drive Full Product Lifecycle: Own projects end-to-end - from initial discovery and system architecture to deployment, ongoing support, and iterative improvements.
• Bridge Tech and Business: Collaborate directly with the CTO Office, FinOps, operations, sales, and pre-sales stakeholders to translate loosely defined business needs into concrete technical designs.
• Architect Modern Platforms: Build responsive frontends, robust Python backends, APIs, system integrations, and automated workflows using AWS serverless and containerized services.
• Engineer Advanced AI Workflows: Build agentic systems using LangChain and LangGraph, covering RAG, tool calling, multi-agent orchestration, custom MCP servers, and reusable internal AI capabilities.
• Ensure Operational Excellence: Establish CI/CD pipelines with GitHub Actions, write infrastructure as code, implement automated testing, and set up comprehensive logging, monitoring (CloudWatch/ELK), and failure recovery.
• Enforce Production Security: Securely manage authentication (OAuth 2.0/SAML/JWT), secret storage, certificates, and strict access controls.
• Set Engineering Standards: Define pragmatic development guidelines for the CTO Office function, document systems clearly, and transparently communicate risks and trade-offs.

Qualifications

• Production Experience: 5+ years of full-stack engineering experience, with a proven track record of independently designing, deploying, and operating software in production.
• Prototype Refactoring Mastery: Strong ability to take unorganized scripts, legacy code, or early-stage prototypes and refactor them into maintainable production systems.
• Frontend & Backend Proficiency: Deep expertise in Python (FastAPI preferred) alongside modern TypeScript/JavaScript frameworks (Vue.js or React).
• AWS & Infrastructure Expertise: Hands-on experience building, scaling, and managing workloads on AWS infrastructure using IaC tools (Terraform/CDK).
• Hands-on Agentic AI Capabilities: Production experience with LangChain, LangGraph, agent orchestration, tool integration, RAG, and error recovery in non-deterministic AI systems.
• DevOps & Automation Mindset: Solid understanding of CI/CD pipelines (GitHub Actions), Docker/Kubernetes, and practical experience using modern AI developer tools (Cursor, Claude Code, Windsurf).
• High Autonomy & Ownership: Ability to deliver reliably without dedicated QA, DevOps, or SRE teams, navigating ambiguity and challenging unsafe or unclear requirements constructively.
• Strong System Design: Deep knowledge of distributed systems, database design (relational and NoSQL), design patterns, and enterprise security standards.

What's in it for You

Reveal great tech solutions.