---
title: 'Machine Learning Engineer at alinia.ai'
canonical: 'https://feeny.ai/job/machine-learning-engineer-alinia-ai-barcelona-7r7pfs2j8rf2'
type: 'job'
last_seen: '2026-09-09'
---

# Machine Learning Engineer at alinia.ai

- **Company:** alinia.ai
- **Location:** Barcelona, Spain
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2025-09-10
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.gem.com/alinia-ai/am9icG9zdDp9hXG1jADBRi9pI3Xzia8V

## Job description

## About the Role

As Alinia’s Machine Learning Engineer, you will be responsible for building and scaling the ML infrastructure that powers our AI guardrails, evaluation pipelines, and enterprise-grade deployments. You’ll work at the intersection of cutting-edge ML research and production, ensuring that our models and detectors move seamlessly from prototype to reliable, performant, and secure systems used in real-world regulated environments. This is a hands-on, high-impact role where you will own the full lifecycle of ML engineering: from infrastructure design, deployment pipelines, and monitoring, to optimization and productionization of research outputs.

## Responsibilities

- Build and maintain robust ML infra (training, serving, monitoring).
- Deploy LLMs, RAG pipelines, and detectors into production at scale.
- Translate research prototypes into production-ready APIs/services.
- Manage CI/CD pipelines, observability, experiment tracking.
- Optimize for latency, cost, and reliability.
- Ensure security, compliance, and privacy in enterprise environments.
- Collaborate closely with ML researchers, back-end engineers, and product teams.

## Requirements

- 4+ years as ML Engineer / MLOps / related role.
- Strong Python + ML frameworks (PyTorch/TensorFlow).
- Cloud platforms (AWS/GCP/Azure) + Kubernetes/Docker.
- Track record deploying ML models in production (REST/gRPC, FastAPI).
- CI/CD pipelines, monitoring, experiment tracking (MLflow, W&B).
- Understanding of enterprise security & compliance (SOC2, ISO 42001, EU AI Act).

Nice to have:

- LLMs, RAG systems, or retrieval optimization.
- Experience with GPUs/distributed training.
- Work in regulated industries (finance, insurance, healthcare).
- Contributions to open-source ML tooling.

Why Join Alinia?

- Build AI safety infrastructure at the frontier of enterprise adoption.
- Work on applied ML with real-world impact.
- Competitive compensation + meaningful equity.
- Early, high-impact role in a mission-driven startup.

## About alinia.ai

## Company Overview
- **One-liner**: Alinia AI enables companies to control, audit, and govern AI agents at scale, making human-machine interactions safer in critical scenarios.
- **Entity Type**: Private (Seed stage; total funding $12.18M)
- **Headquarters**: Dover, Delaware, United States (with offices in Barcelona, Spain; Valencia, Spain; New York, NY; and Pittsburgh, PA)
- **Founded**: 2023
- **Founders**: Ariadna Font Llitjós (CEO) and Carlos Muñoz Ferrandis (COO)

## Core Business
- **Primary industry**: AI Governance & Compliance, Enterprise Software
- **Target customers**: B2B – enterprises in regulated industries (finance, healthcare, legal) that need to deploy LLM-based applications safely and in compliance with regulations (e.g., EU AI Act).
- **Mission**: “Make human-machine interactions safer in the most critical scenarios and at scale.”

## Products & Services
- **Alinia RAG Guard**: A proprietary small language model (SLM) for detecting hallucinations and irrelevance in Retrieval-Augmented Generation (RAG) applications. Tested in six languages, it delivers up to 40% fewer errors compared to GPT-4o-mini, IBM Granite, and AWS Bedrock. Designed for high-stakes domains like finance and healthcare.
- **No-Code Control Platform**: Enables human experts to build custom AI QA validators, auditors, and guardrails without writing code. Includes custom safety filters, performance measurement, and audit documentation.
- **Compliance Models Suite**: A family of proprietary SLMs for specific risk detection (e.g., bias, toxicity, regulatory compliance) with inference latency of ~50ms, enabling real-time enforcement.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total funding – $12.18M (conflicting reports: one source lists $9.9M total; CBInsights reports $12.18M). Latest round: $7.5M Seed (Dec 2025) led by Mouro Capital.
- **Notable Investors/Partners**: Mouro Capital (lead), Speedinvest, Precursor Ventures, Tom Preston-Werner (former GitHub CEO), and others.
- **Growth Signals**:
  - Headcount grew >150% YoY (from ~5 to 14-15 employees).
  - Achieved SOC 2 Type II attestation (two consecutive years).
  - CEO Ariadna Font Llitjós met with the President of Spain to discuss Europe’s AI trust opportunity.
  - Expanding presence in the US and Europe.

## Competitive Advantages
- **Proprietary SLM architecture**: Alinia develops its own small language models for risk detection, achieving ~50ms inference – far faster than general-purpose LLMs, enabling real-time guardrails without compromising user experience.
- **Deep regulatory expertise**: Founders have hands-on experience operationalizing responsible AI at Twitter (former Head of ML Platform) and Hugging Face (former AI Counsel), giving them unique insight into enterprise and regulatory requirements.
- **Multilingual & domain-optimized**: RAG Guard is tested across six languages and outperforms larger models in finance/healthcare contexts.

## Strategic Focus
- **Current priorities**: Scale the governance platform for enterprise deployments; deepen integrations with major LLM providers; expand sales in the US and Europe; continue building out the compliance model family to cover more risk categories (bias, toxicity, regulatory).
- **Direction**: Position Europe as a leader in trustworthy AI by providing the infrastructure for safe, auditable AI deployment in regulated industries.

## Why Work Here
- **Remote-first culture**: Alinia AI operates as a remote workspace (per Built In), with team members distributed across the US (Pittsburgh, New York, Delaware) and Europe (Barcelona, Valencia, Amsterdam, Lisbon).
- **Engineering culture with security at its core**: The company emphasizes security as part of its engineering DNA – SOC 2 Type II attestation is a routine part of how they build.
- **Mission-driven**: Employees work on a critical problem – making AI safe and trustworthy – with direct impact on how enterprises adopt generative AI.
- **Founder backgrounds**: Learn from leaders who have shaped responsible AI at Twitter, IBM Watson, and Hugging Face. The team is still small (~15 people), offering significant ownership and influence.
- **Growth trajectory**: 150% headcount growth in the past year signals momentum and opportunity for early employees to shape the company’s future.

## Sources
1. [alinia.ai/company](https://alinia.ai/company/)
2. [LinkedIn - Alinia AI](https://linkedin.com/company/alinia-ai)
3. [Built In - Alinia AI](https://builtin.com/company/alinia-ai)
4. [CBInsights - Alinia AI](https://www.cbinsights.com/company/alinia-ai)
5. [Craft.co - Alinia AI](https://craft.co/alinia)
6. [Careers Page - jobs.gem.com/alinia-ai](https://jobs.gem.com/alinia-ai)

## Other roles at alinia.ai

- [Applied AI Research Intern](https://feeny.ai/job/applied-ai-research-intern-alinia-ai-spain-6k8av9hgg09j) — Spain
- [Internship - Regulatory Engineer](https://feeny.ai/job/internship-regulatory-engineer-alinia-ai-spain-hds37twn5erq) — Spain
- [Applied Research Scientist](https://feeny.ai/job/applied-research-scientist-alinia-ai-barcelona-nq7dn9p4mb6m) — Barcelona, Spain
- [Back-End Engineer](https://feeny.ai/job/back-end-engineer-alinia-ai-barcelona-zwknn7qk6tbd) — Barcelona, Spain
- [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-yuno-europe-qk68kdrz5rgw) — Europe
- [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-pangram-labs-brooklyn-e3hhh2tc2855) — Brooklyn, NY
- [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-gatik-ai-santa-clara-qj4vvbdeqt4x) — Santa Clara, CA
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- [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-blissway-inc-denver-x6g0dsrp5q6v) — Denver, CO
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