Staff AI Architect & Platform Lead

Jobgether; España; On-site; EUR 110,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Production AI solutions in production

Broad technical scope across AI infra

Architectural influence in major tech

Access to proprietary dataset

High-autonomy Staff IC role

Support for small businesses growth

Collaborative culture

Diversity and accommodations

Job summary

Jobgether is seeking a Staff AI Engineer based in Spain to lead the design and delivery of production‑grade AI initiatives, including AI agents and generative features. You will influence AI architecture, own major projects, and build scalable AI infrastructure in collaboration with product and engineering teams.

You will shape evaluation frameworks, automate testing, and contribute to the shared AI platform while balancing security, latency, and cost.

Qualifications

• Extensive experience in software engineering at Staff Engineer or equivalent level.
• Experience designing, building, and deploying production‑grade LLM applications, AI agents, or generative AI features used by real customers.
• Strong technical leadership, including the ability to influence architectural decisions across teams, establish engineering standards, and drive initiatives from proposal through implementation.
• Proven experience building and maintaining AI evaluation frameworks that combine automated testing, agent traces, human feedback, and production monitoring to measure quality and prevent regressions.
• Strong understanding of AI agent architecture, tool design, and orchestration, including when deterministic logic is preferable to LLM‑based solutions.
• Experience designing secure and reliable tool boundaries, human‑in‑the‑loop workflows, balancing performance, latency, security, and costs.
• Sound judgment in build‑versus‑buy decisions, model selection, and AI provider integrations.
• Strong backend and platform engineering expertise with Python and Django, PostgreSQL, Redis, asynchronous workers, and REST or GraphQL APIs.
• Ability to design scalable shared AI infrastructure with well‑defined interfaces, caching, and tenant isolation.
• Excellent problem‑solving, communication, and collaboration skills across Product, Design, QA, and engineering teams.

Responsibilities

• Lead the design, development, and delivery of major AI initiatives, including AI-powered assistants, contextual data systems, and generative AI features.
• Contribute directly to production AI systems from the outset, identifying technical opportunities and delivering improvements to existing architecture and workflows.
• Drive early improvements in AI quality, reliability, and performance by addressing known failure points and implementing measurable enhancements.
• Take ownership of major AI projects from architecture and technical planning through deployment and optimization.
• Define and influence architectural decisions across engineering teams, with responsibility for AI architecture and shared platform infrastructure.
• Establish scalable AI quality frameworks, including automated evaluations, regression testing, guardrails, agent tracing, human feedback mechanisms, and production monitoring.
• Design and implement reliable AI agents and tool integrations, balancing deterministic code and LLM capabilities while addressing security, latency, reliability, and cost.
• Drive broader engineering initiatives to improve development quality and velocity, such as AI evaluation standards and code review processes.
• Collaborate with Product, Design, QA, Operations, and engineering stakeholders to translate business needs into effective technical solutions.
• Promote engineering excellence through mentorship, architectural standards, and a culture of continuous improvement.

Skills

Leadership

Backend engineering

Python

Django

PostgreSQL

Redis

REST/GraphQL APIs

LLM AI systems

Problem solving

Job description

Jobgether is seeking a Staff AI Engineer based in Spain to lead the design and delivery of production‑grade AI initiatives, including AI agents and generative features. You will influence AI architecture, own major projects, and build scalable AI infrastructure in collaboration with product and engineering teams.

You will shape evaluation frameworks, automate testing, and contribute to the shared AI platform while balancing security, latency, and cost.