Staff Ai Engineer (Generativeai) - PFK729

Wizeline; Las Palmas de Gran Canaria; Híbrido; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A global AI technology solutions provider is looking for a Staff AI Engineer to lead the development of AI-powered products. The ideal candidate will have over 5 years of experience in software engineering with strong skills in LLMs and effective collaboration in team environments. The role offers competitive compensation, health benefits, and opportunities for continuous learning.

Servicios

Competitive compensation & total rewards

Health benefits & wellness programs

Global mobility opportunities

Continuous learning & training programs

Formación

• 5+ years of software engineering in production environments, especially in TypeScript/Node, Go, or Python.
• Hands-on experience with LLMs including prompt engineering and model selection.
• Experience in designing embedding pipelines and semantic search.

Responsabilidades

• Own the full agent development life-cycle, from scoping to monitoring.
• Translate business goals into effective conversational workflows.
• Connect agents to enterprise APIs and internal services.

Descripción del empleo

Staff AI Engineer

We are: Wizeline, a global AI-centric technology solutions provider, developing 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

1. 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.
2. Full Agent Development Life-Cycle: Own scoping, design, implementation, automated evaluation/regression testing, deployment, rollout, monitoring, and iterative tuning.
3. 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.
4. LLM orchestration & planning: Implement multi-model pipelines (e.g., comprehension, planning, critique, response) using frameworks such as OpenAI Function Calling, LangChain/LangGraph, or similar.
5. 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.
6. Continuous Optimisation: Inspect reasoning traces, analyse failure modes, improve prompts/skills/knowledge, and raise autonomous resolution rates week over week.
7. 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

1. 5+ years of software engineering in production environments (TypeScript/Node, Go, or Python) with strong API design, testing, and debugging habits.
2. Hands-on experience with LLMs (GPT, Claude, Gemini, or fine-tuned OSS models): prompt engineering, function/tool calling, model selection, and evaluation.
3. Retrieval-Augmented Generation (RAG): designing embedding pipelines and semantic search with Pinecone, Weaviate, etc.
4. Agent orchestration expertise: LangChain/LangGraph, OpenAI Agents SDK, CrewAI, or equivalent frameworks for tool-augmented reasoning loops.
5. ML-/DevOps literacy: containerisation, CI/CD, GPU/AI infra, caching, automated evals for nondeterministic systems.
6. Experience enforcing security guardrails & PII protection in user-facing AI products.

Nice-to-have

1. Real-time/voice agent delivery (e.g., SSE or WebSockets).
2. Familiarity with emerging multi-agent protocols (MCP, A2A) or supervisor/critique agent patterns.
3. Domain experience in e-commerce, fintech, telecom, or large-scale customer support.
4. 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.