Staff AI Engineer

Wizeline; Madrid; Híbrido; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A global AI technology solutions provider is seeking an experienced software engineer specializing in LLM and agent orchestration. The ideal candidate will have over 5 years of experience in software development, proficiency in TypeScript or Python, and a track record in managing AI products. This role offers competitive compensation, health benefits, and a flexible, remote-friendly work environment.

Servicios

Competitive compensation & total rewards

Health benefits & wellness programs

Flexible work policy

Formación

• 5+ years of software engineering experience, particularly with TypeScript/Node, Go, or Python.
• Experience with prompt engineering and model selection in LLM environments.
• Proficient in designing embedding pipelines and semantic search.

Responsabilidades

• Translate business goals into conversational workflows.
• Own the full agent development life-cycle from design to deployment.
• Implement guardrails and compliance measures for AI products.

Conocimientos

Software engineering in production environments

Hands-on LLM experience

RAG design and implementation

Agent orchestration expertise

ML- / DevOps literacy

Enforcing security guardrails

Descripción del empleo

Overview

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.