Senior Agentic AI Engineer – SDLC

E-Frontiers; Madrid; Híbrido; EUR 65.000 - 78.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model (3 days in office /

20 days remote work from abroad in 202

Descripción de la vacante

E-Frontiers in Madrid is seeking a Senior Agentic AI Engineer to shape and scale AI-powered engineering capabilities in an international tech setting.

The role blends hands-on engineering, agentic AI, software architecture and technical leadership to production-ready AI systems integrated into engineering workflows.

Formación

• 5+ years of software engineering experience, preferably with distributed systems.
• Strong experience with microservices and event-driven architectures.
• Hands-on production experience integrating LLMs (Azure OpenAI, OpenAI, Bedrock).
• Strong understanding of RAG, embeddings, information retrieval and vector databases.
• Experience with Docker, Kubernetes, Terraform and CI/CD; proven technical leadership across teams.

Responsabilidades

• Lead the architecture and delivery of AI and agentic systems across platforms.
• Design production-ready agentic architectures including planning, memory, recovery, and safety.
• Drive AI-powered SDLC initiatives across coding, testing, review and release processes.
• Build MCP-based capability layers to enable AI adoption across teams.
• Own context engineering including grounding, retrieval, memory and evaluation.
• Design observability, governance and guardrails for production LLM integrations.
• Collaborate with engineering, product, platform, security and data teams.
• Provide technical leadership for complex AI initiatives and architectural decisions.

Conocimientos

5+ years experience

distributed systems

microservices

event-driven architectures

LLMs integration

Azure OpenAI

OpenAI

Amazon Bedrock

RAG

embeddings

information retrieval

vector databases

Docker

Kubernetes

Terraform

CI/CD

technical leadership

Herramientas

Docker

Kubernetes

Terraform

CI/CD

Descripción del empleo

Madrid | Hybrid: 3 days in the office / 2 remote | +€65K + 10% bonus

About the Opportunity

We are looking for a Senior Agentic AI Engineer to help shape and scale AI-powered engineering capabilities within an international technology environment.

This role combines hands-on engineering, agentic AI, software architecture and technical leadership. You’ll work on production-ready AI systems and help define how AI is embedded into engineering workflows, while ensuring solutions are scalable, secure, observable and measurable.

If you’re an experienced software engineer who has moved deeply into Agentic AI and LLM-powered systems and enjoys solving complex technical challenges, this is an opportunity to have a real impact.

What You’ll Be Doing

• Lead the architecture and delivery of AI and agentic systems across engineering and commerce platforms.
• Design production-ready agentic architectures, including planning, memory, recovery and safety mechanisms.
• Drive AI-powered SDLC initiatives across coding, testing, code review and release processes.
• Build reusable MCP-based capability layers to enable AI adoption across engineering teams.
• Own context engineering, including grounding, retrieval, memory and evaluation.
• Design observability, governance and guardrails for production LLM integrations.
• Work closely with engineering, product, platform, security and data teams.
• Act as a technical lead for complex AI initiatives and key architectural decisions.

What We’re Looking For

• 5+ years of software engineering experience, ideally working with distributed systems.
• Strong experience with microservices and event-driven architectures.
• Hands-on production experience integrating LLMs such as Azure OpenAI, OpenAI or Amazon Bedrock.
• Strong understanding of RAG, embeddings, information retrieval and vector databases.
• Experience with Docker, Kubernetes, Terraform and CI/CD.
• Proven experience providing technical leadership across teams.
• Strong understanding of how to take AI solutions from experimentation into reliable production systems.

Nice to Have

• Experience with LangChain, LlamaIndex, AutoGen, CrewAI or Semantic Kernel.
• Experience with experimentation or feature-flag platforms.
• Knowledge of AI security, privacy and cost optimisation.
• Experience working with retail, e-commerce or high-scale consumer platforms.

Why Join?

• Work on production-grade Agentic AI systems, beyond experimentation and proof of concepts.
• Help shape how AI is integrated into the software development lifecycle.
• Have significant technical ownership and influence over architecture and engineering practices.
• Work with modern technologies including LLMs, MCP, RAG, vector databases and agentic architectures.
• Join a highly collaborative, international engineering environment.
• Hybrid working model: 3 days in the office / 2 remote.
• 20 days of remote work from abroad in approved countries.
• Strong learning and development opportunities.

Hiring Process

• Initial interview with the hiring team.
• Technical assessment focused on software engineering and AI.
• Final and tech interview.