Staff AI Engineer (GenerativeAI)

Wizeline; Zaragoza; A distancia; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

A global AI-centric technology provider is seeking a Staff AI Engineer to design and deliver AI-driven conversational agents. The successful candidate will have 5+ years of software engineering experience, particularly in TypeScript or Python, and hands-on experience with LLMs. Responsibilities include integrating tools and data, optimizing system performance, and ensuring compliance with security standards. Competitive compensation and wellness benefits are offered, along with flexible work arrangements.

Servicios

Competitive compensation

Health benefits

Global mobility opportunities

Flexible work policy

Continuous learning programs

Formación

• 5+ years of software engineering experience in production environments (TypeScript / Node, Go, or Python).
• Experience with API design, testing, and debugging.
• Hands-on LLM experience with prompt engineering and model evaluation.

Responsabilidades

• Translate business goals into conversational workflows.
• Own the full agent development lifecycle.
• Connect agents to enterprise APIs and internal micro-services.

Conocimientos

Software engineering in production environments

Hands-on LLM experience

RAG design and implementation

Agent orchestration expertise

ML- / DevOps literacy

Security guardrails & PII protection

Descripción del empleo

Staff AI Engineer

We are :

Wizeline, a global AI-centric technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

With the right people and the right ideas, there’s no limit to what we can achieve

Are you a fit?

Sounds awesome, right? Now, let’s make sure you’re a good fit for the role.

Key Responsibilities

• Agent design & delivery : Translate business goals into deterministic, guard-railed conversational workflows; ship agents that handle millions of user interactions with high CSAT and low latency.
• Full Agent Development Life-Cycle : Own scoping, design, implementation, automated evaluation / regression testing, deployment, rollout, monitoring, and iterative tuning.
• Tool & data integration : Connect agents to enterprise APIs, vector / RAG knowledge bases, event streams, and internal micro-services so they can act, not just chat.
• LLM orchestration & planning : Implement multi-model pipelines (e.g., comprehension → planning → critique → response) using frameworks such as OpenAI Function Calling, LangChain / LangGraph, or similar.
• Trust, safety, and compliance : Implement multi-layer guardrails (rules + supervisor models), PII detection / masking, credential vaulting, and auditable traces that satisfy SOC 2 / GDPR-class requirements.
• Continuous Optimisation : Inspect reasoning traces, analyse failure modes, improve prompts / skills / knowledge, and raise autonomous resolution rates week over week.
• Cross-functional collaboration : Work closely with client PMs, CX leaders, and non-technical stakeholders; explain AI trade-offs clearly and gather feedback to shape roadmaps.

Must-have Skills

5 + years software engineering in production environments (TypeScript / Node, Go, or Python) with strong API design, testing, and debugging habits.

Hands-on LLM experience (GPT, Claude, Gemini, or fine-tuned OSS models) : prompt engineering, function / tool calling, model selection, and evaluation.

Retrieval-Augmented Generation (RAG) : designing embedding pipelines and semantic search with Pinecone, Weaviate, etc.

Agent orchestration expertise : LangChain / LangGraph, OpenAI Agents SDK, CrewAI, or equivalent frameworks for tool-augmented reasoning loops.

ML- / DevOps literacy : containerisation, CI / CD, GPU / AI infra, caching, automated evals for nondeterministic systems.

Experience enforcing security guardrails & PII protection in user-facing AI products.

Nice-to-have :

Real-time / voice agent delivery (e.g., SSE or WebSockets).

Familiarity with emerging multi-agent protocols (MCP, A2A) or supervisor / critique agent patterns.

Domain experience in e-commerce, fintech, telecom, or large-scale customer support.

Prior work with automated prompt / agent regression testing frameworks.

What we offer :

Competitive compensation & total rewards

Health benefits & wellness programs

Savings & retirement plans

Global mobility opportunities

Flexible work policy and remote-friendly approach

Happy hours, gaming tournaments, sports activities & more

Continuous learning & training programs with WizeAcademy

Free certifications in cloud technologies and coding languages

Find out more about our culture here.