Staff AI Engineer (GenerativeAI)

Wizeline; Tenerife; A distancia; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

A global AI solutions provider is looking for a Staff AI Engineer to develop and deliver innovative AI-powered products. You will lead the design and implementation of agents that handle large-scale user interactions while ensuring compliance and safety. The ideal candidate has over 5 years of experience in software engineering and strong expertise with LLMs and API design. Competitive compensation and a flexible work policy are offered.

Servicios

Competitive compensation & total rewards

Health benefits & wellness programs

Global mobility opportunities

Flexible work policy

Continuous learning & training programs

Free certifications in cloud technologies

Formación

• 5+ years software engineering experience.
• Hands-on LLM prompt engineering and evaluation.
• Experience with RAG and semantic search.
• Expertise in agent orchestration frameworks.
• Familiarity with security practices in AI products.

Responsabilidades

• Translate business goals into conversational workflows.
• Own the full Agent Development Life-Cycle.
• Connect agents to enterprise APIs and knowledge bases.
• Implement pipelines for multi-model orchestration.
• Conduct continuous optimisation through analysis.

Conocimientos

Software engineering in production environments (TypeScript / Node, Go, or Python)

API design, testing, and debugging

LLM experience (GPT, Claude, Gemini)

Retrieval-Augmented Generation (RAG)

Agent orchestration expertise (LangChain / LangGraph)

DevOps literacy (CI/CD, GPU/Ai infrastructure)

Enforcing 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,

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.