Production AI Engineer - Enterprise Solutions

IFS; Comunidad de Madrid; Hybrid; EUR 90,000 - 150,000; Full time

Job summary

IFS is seeking a Forward Deployed Engineer, R&D AI Services, to embed with product teams and shape AI-powered products at enterprise scale.

You will be hands-on with data pipelines, model serving, and MLOps, translating business needs into practical AI solutions while collaborating with stakeholders across the company. This role offers hybrid options and requires strong Python and cloud/Kubernetes expertise.

Qualifications

• 5+ years of software engineering with production systems experience.
• Strong Python and willingness to work across other languages and existing codebases.
• Experience integrating LLMs and AI services into production applications.
• Hands-on experience with data pipelines and MLOps behind AI services.
• Ability to translate business needs into technical AI solutions.

Responsibilities

• Embed with product teams to map AI needs to business flows.
• Lead technical discovery to identify bottlenecks.
• MatchAI services to problems or design new ones with the team.
• Own end-to-end design, prototyping, and shipping of AI features.
• Work with data pipelines, model training, and MLOps tooling behind services.
• Ship first version fast, then harden with monitoring and reliability.
• Translate business pain points into actionable AI roadmap inputs.
• Collaborate with product owners and engineers, communicating trade-offs clearly.

Skills

Python

Cloud & Kubernetes

LLM Integration

Agentic Systems

RAG & Embeddings

REST APIs

IaC

Data Pipelines

Distributed Systems

Stakeholder Comms

Production ML Systems

Tools

Azure AKS

Blob Storage

Key Vault

Docker

Kubernetes

Terraform

ArgoCD

Job description

IFS is seeking a Forward Deployed Engineer, R&D AI Services, to embed with product teams and shape AI-powered products at enterprise scale.

You will be hands-on with data pipelines, model serving, and MLOps, translating business needs into practical AI solutions while collaborating with stakeholders across the company. This role offers hybrid options and requires strong Python and cloud/Kubernetes expertise.