Staff Ai Engineer (Generativeai) | [U202]

Wizeline; Barcelona; A distancia; EUR 65.000 - 95.000; Jornada completa

Descripción de la vacante

A global AI-centric technology solutions provider is seeking a Staff AI Engineer to lead the design and implementation of advanced conversational AI agents. The ideal candidate will have over 5 years of software engineering experience, specifically with LLMs and API design. This role emphasizes cross-functional collaboration and the opportunity to work on cutting-edge technology. 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

Formación

• 5+ years software engineering in production environments.
• Hands-on LLM experience with prompt engineering.
• Expertise in designing embedding pipelines.

Responsabilidades

• Translate business goals into conversational workflows.
• Own design, implementation, and deployment of agents.
• Implement multi-model pipelines for AI tasks.
• Collaborate with non-technical stakeholders.

Conocimientos

Software Engineering

API Design

LLM Experience

Agent Orchestration

ML/DevOps Literacy

Security Guardrails

Herramientas

TypeScript

Node

Go

Python

Pinecone

Weaviate

LangChain

OpenAI Agents SDK

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

• 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.