Staff Ai Engineer (Generativeai) | (E264)

Wizeline; Islas Baleares; A distancia; EUR 75.000 - 100.000; Jornada completa

Descripción de la vacante

A global AI-centric technology solutions provider is seeking a Staff AI Engineer to design and deliver AI-driven agents, oversee the full development lifecycle, and connect them to enterprise APIs. The role requires at least 5 years of software engineering experience and expertise in LLMs. The company offers competitive compensation, health benefits, and continuous learning opportunities along with a flexible work policy.

Servicios

Competitive compensation & total rewards

Health benefits & wellness programs

Flexible work policy and remote-friendly approach

Continuous learning & training programs

Free certifications in cloud technologies

Formación

• Strong API design, testing, and debugging habits.
• Experience in TypeScript/Node, Go, or Python.
• Ability to implement multi-layer guardrails and compliance.
• Experience with containerization, CI/CD, and GPU/AI infrastructures.

Responsabilidades

• Translate business goals into conversational workflows.
• Own scoping, design, implementation, and deployment.
• Connect agents to enterprise APIs and internal micro-services.
• Implement multi-model pipelines and optimise performance.
• Collaborate with cross-functional teams and stakeholders.

Conocimientos

5+ years software engineering in production environments

Hands-on LLM experience

Retrieval-Augmented Generation (RAG)

Agent orchestration expertise

ML-/DevOps literacy

Experience enforcing security guardrails

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.

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