Staff Ai Engineer (Generativeai)

Wizeline; Santa Cruz de Tenerife; Presencial; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

A technology solutions provider is looking for a Staff AI Engineer to develop AI-powered digital products. The role involves designing conversational workflows, collaborating with various stakeholders, and ensuring trust and safety standards. Ideal candidates have over 5 years of software engineering experience and hands-on LLM expertise. The company offers competitive compensation, health benefits, and a remote-friendly work environment.

Servicios

Competitive compensation

Health benefits

Savings plans

Flexible work policy

Continuous learning programs

Formación

• 5+ years of software engineering in production environments.
• Hands-on LLM experience (e.g., GPT, Claude).
• Experience with containerization and CI/CD processes.

Responsabilidades

• Translate business goals into conversational workflows.
• Own the full agent development life-cycle.
• Connect agents to various enterprise APIs and data streams.
• Implement multi-model orchestration pipelines.
• Ensure compliance with trust and safety standards.
• Collaborate with clients and non-technical stakeholders.

Conocimientos

Software engineering

API design

Prompt engineering

Containerization

ML/DevOps literacy

Herramientas

TypeScript

Node

Go

Python

LangChain

OpenAI Function Calling

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.