Staff Ai Engineer (Generativeai) | RPV-214

Wizeline; Pamplona; Híbrido; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

A global AI-centric technology solutions provider is seeking an experienced Staff AI Engineer to design and implement advanced AI-powered agents. Candidates should have at least 5 years of software engineering experience, particularly in TypeScript, Node, or Python, and hands-on expertise with LLMs. Responsibilities include full agent development life-cycle and cross-functional collaboration. Competitive compensation and flexible work policies are offered.

Servicios

Competitive compensation & total rewards

Health benefits & wellness programs

Savings & retirement plans

Global mobility opportunities

Flexible work policy and remote-friendly approach

Continuous learning programs with WizeAcademy

Free certifications in cloud technologies

Formación

• 5+ years software engineering in production environments (TypeScript/Node, Go, or Python).
• Experience with hands-on LLM applications such as GPT, Claude, or Gemini.
• Expertise in designing embedding pipelines and semantic search.

Responsabilidades

• Translate business goals into conversational workflows.
• Own the full agent development life-cycle including testing and deployment.
• Connect agents to enterprise APIs and micro-services.

Conocimientos

Software engineering in production environments

Hands-on LLM experience

Retrieval-Augmented Generation (RAG)

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

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 software engineering in production environments (TypeScript/Node, Go, or Python) with strong API design, testing, and debugging habits.
2. Hands-on LLM experience (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.