AI engineer (agentic systems & LLM services)

WorkMotion

Remote (Spain) Remote Full-time €45K/yr 9 days ago
Workplace
Remote
Location
Spain
Who can apply
Remote for people based in Spain

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About the role

AI engineer (agentic systems & LLM services)

Location: Remote (Within +/- 2 hours of CET)

Contract type: Full-time

Salary: Starting from €45,000 per annum gross, subject to location, skills and experience

Not Your Typical Workplace

Tired of the 9-to-5 grind? Imagine a World without borders, where opportunities are endless. That's the future of work, and what we are building at WorkMotion.Our remote first team spans across the world, helping companies hire, onboard, and manage talent internationally through smart, flexible workforce solutions. Fast-paced, people-driven, and globally connected — we empower businesses to build teams without borders.

More Than a Role

We don’t just need an AI Engineer — we need a builder. We’re looking for someone who gets their energy from turning messy, real-world workflows (document processing, customer support interactions, contracts, sales and account operations) into reliable AI-powered services, while keeping a sharp, analytical focus on how their work delivers real business impact.

This isn’t a role for someone who wants to stay in their lane. You’ll be at the center of it all — owning AI services from prototype to production: agents, LLM pipelines and the MCP tooling around them — ensuring everything you touch is reliable, measurable and secure] and aligned with our wider goals.

You won’t be a solo operator. You’ll collaborate with the engineering and the product development teams, bringing everything together to ensure consistency, impact, and momentum across the board.

Where Responsibility Meets Real Opportunity

* Design, build and ship production AI services in Python (FastAPI, async), including multi agent systems and LLM-powered pipelines for document processing, chatbots and CRM automation. * Develop and maintain MCP servers and integrations that give agents safe, well-scoped access to company systems. * Build retrieval and ingestion pipelines: document parsing, chunking, embeddings and vector search, over AWS storage. * Evaluate and improve quality. This means benchmarks, regression tests, replay of real cases and prompt/playbook iteration, with cost and latency in view. * Operate what you build: containerized deployments, observability, authentication and PII safe handling of employee and customer data. * Contribute to AI governance by keeping lifecycle records, documenting risks and decisions, and supporting different ISO evidence.

What It Takes to Make an Impact Here…

* 3+ years of software engineering experience (backend/Python), with at least 1 year building LLM-based applications in production. * Strong Python: FastAPI, Pydantic, SQLAlchemy/Alembic, async programming, pytest. * Hands-on with LLM tooling: agent frameworks (e.g. Google ADK), LiteLLM or similar gateways, tool/function calling, MCP, and RAG with vector databases. * Comfortable with Docker, AWS (S3 and related), CI/CD and observability tooling. * Critical competencies: pragmatic problem-solving, written clarity, ownership, and sound judgment on data privacy and security. * Language: fluent English (written and spoken).

Bonus Points If You Bring

* Experience with Salesforce, Atlassian APIs or HR/payroll/global-employment domain data.

* Experience running or evaluating closed-weight and/or open-weight models or with PII anonymization and AI governance frameworks (GDPR, ISO 42001, EU AI Act). * Experience with Python/Node.js/TypeScript, as some MCP tooling is built that way. * A track record of building evaluation harnesses or benchmarks for LLM systems.

Not Your Typical Team…

We are a rapidly growing team of highly talented AI engineering minds, who are based all over Europe. We’re a team of motivated, and fully distributed crew that proves "remote" doesn't mean "disconnected."

We don’t just “work” together — we create, challenge, and grow together. If you’re looking for an environment where your ideas are welcomed, your voice is heard, cross-collaboration on bold strategies thrive on collective brainpower and high-energy teamwork you’ll feel right at home.

The Perks of Being Here

* Global, remote, and thriving: We're a global team of talented individuals spread across 26 countries. Our WorkFlex program lets you work from anywhere, anytime. Whether it's a beachside office or a cosy home office, the choice is yours. * Your well-being is our priority: We know mental health matters, which is why we offer a dedicated Well-Being Day—a full day off just to recharge and relax. * Get fit and stay active: Whether it’s yoga, weightlifting, or a quick jog—work out on your terms, at a discount with our subsidized gym memberships. * Learn, grow, and develop: We believe in constant growth. With our Training & Development Allowance, you’ll have all the opportunities you need to keep expanding your skills and knowledge. * Stay connected: Take part in exciting annual team meetups! * Diversity is our superpower: We are proud to be an equal opportunity employer, committed to fostering a diverse and inclusive workplace.

*Benefits vary depending on location due to local laws and regulations.

At WorkMotion, we’re proud to be an equal opportunity employer. If you need any accommodations

during the recruitment process, just let our Recruitment Team on . We’re here

to support you every step of the way!

Originally posted on Himalayas

About remote Machine Learning Engineer jobs

Open jobs
1,157 open remote Machine Learning Engineer jobs, 227 of them posted in the last 7 days. See all Remote Machine Learning Engineer jobs
Typical advertised pay
$176,000 – $266,000 a year for the middle half of the 347 job ads from 173 employers that state a salary in US dollars (median $212,000). This is base pay as advertised, not total compensation. Remote Machine Learning Engineer salary
Skills the job ads ask for most
  • Python 82%
  • LLMs 68%
  • AWS 37%
  • RAG 35%
  • CI/CD 30%
  • PyTorch 27%

Share of the 475 newest postings for the role that name each skill. Resume keywords for Machine Learning Engineer jobs

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