Role Overview

We’re building the next generation of AI‑powered experiences on our Salesforce platform at Planet, and we’re looking for an engineer who is excited to help shape it. Our environment is already live with Agentforce, and we want someone to help us extend it — building new agents, refining what’s there, and finding smart ways to embed AI into our sales, service, and operational processes.

Envíe su solicitud a continuación después de leer todos los detalles y la información de apoyo sobre esta ocasión de trabajo.
What you will do

- Design, build, and deploy Agentforce agents — working with Agent Builder, topics, and actions backed by Flow, Apex, or prompt templates.
- Develop AI‑grounded features using tools like the Einstein Trust Layer, Prompt Builder, Einstein Studio, and Data Cloud.
- Bring AI into our existing Salesforce estate — Sales Cloud, Service Cloud, and the workflows our business depends on day‑to‑day.
- Partner with our AI Centre of Excellence and business stakeholders to scope, prioritise, and ship work that matters.
- Tune and evaluate agent behaviour — instructions, grounding data, guardrails, and the outcomes that prove they’re working.
- Keep an eye on the roadmap and help us decide what’s worth adopting as Agentforce evolves.

Who you are
- Core: a few years of hands‑on engineering experience on the Salesforce platform (Flow, Apex, Lightning, data modelling) or equivalent experience as a software/AI engineer with a track record of picking up new platforms quickly.
- Practical experience applying AI or LLMs to real business problems — this could be Agentforce, or work you’ve done with OpenAI, Anthropic, RAG, vector stores, or similar.




- A clear sense of when AI is the right tool and when a deterministic approach is better.
- Experience integrating systems — whether that’s Salesforce with other platforms, or stitching services together more generally.
- Awareness of how to deploy AI responsibly in an enterprise context (privacy, trust, guardrails).
- Familiarity with the Einstein Trust Layer is great; transferable thinking from other regulated environments is equally welcome.
- A pragmatic, build‑first mindset — you’d rather ship something useful than debate the perfect design forever.
- Comfort with ambiguity.
- Clear communication — you can explain what an agent does (and doesn’t do) to people who don’t live in the platform.
- Curiosity — the best people on this team keep learning.

Nice to have
- Hands‑on Agentforce experience in a live environment.
- Salesforce certifications (Platform Developer I, AI Specialist, Agentforce Specialist) or willingness to work toward them.
- Experience with Data Cloud, Prompt Builder, or Einstein Studio.
- Background in payments, fintech, or another regulated industry.
- Experience evaluating or fine‑tuning LLM behaviour at scale.

Why Planet

Planet is an equal‑opportunity employer where diversity is valued, and all employment is decided based on qualifications, merit, and business need. We embrace a hybrid work model, with three days a week in the office. Reasonable accommodations may be made to allow an individual to perform the essential functions of this role successfully.

About Planet

Planet provides integrated software, payment, and technology solutions for retail and hospitality customers worldwide. xqbhyrx Founded over 35 years ago, we serve more than 2,500 employees across six continents and support customers in over 120 markets.

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📌 Salesforce AI Engineer at Planet (Madrid)
🏢 Planet
📍 Madrid