---
title: 'Back-End Engineer at alinia.ai'
canonical: 'https://feeny.ai/job/back-end-engineer-alinia-ai-barcelona-zwknn7qk6tbd'
type: 'job'
last_seen: '2026-09-09'
---

# Back-End 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/am9icG9zdDo6Uc21wiIwaUeZFK78-YN2

## Job description

## About the Role

As Alinia’s Back-End Engineer, you will play a foundational role in shaping the core infrastructure and backend systems powering our platform. We're building critical safety and governance infrastructure for generative AI, and as one of the first engineers, you’ll be instrumental in ensuring that our backend is fast, scalable, secure, and enterprise-ready. This is a hands-on, high-impact role for someone who thrives in a fast-paced startup, can wear multiple hats, and wants to help define how the backend of AI-powered products should be built.

## Responsibilities

- Maintain, scale, and secure our Python FastAPI backend and microservices
- Serve and optimize large language models (LLMs) via performant, cost-aware inference endpoints
- Design and build robust, scalable APIs to support product and customer use cases
- Set up and manage CI/CD pipelines, observability, and monitoring to ensure system reliability
- Manage cloud infrastructure and optimize spend, balancing performance and cost
- Implement security best practices and support compliance with frameworks like SOC 2 and ISO 27001
- Work closely with product and front-end engineers, translating user and product needs into scalable backend architecture
- Collaborate with technical vendors, AI providers, and cloud platforms on integrations and deployments
- Triage and resolve backend bugs or incidents, especially those affecting customer experience
- Support post-sales technical implementation and onboarding for enterprise customers

## Requirements

- 3+ years as a backend engineer working on production systems
- Strong proficiency in Python and experience building with FastAPI or similar frameworks
- Deep experience with RESTful APIs, PostgreSQL, and Docker
- Solid understanding of backend infrastructure, including deployment, CI/CD, observability, and debugging
- Experience working with or integrating LLM inference pipelines
- Familiarity with cloud platforms (e.g. AWS, GCP, or Azure)
- Strong understanding of security, data privacy, and compliance in an enterprise SaaS context
- Clear communicator and cross-functional collaborator
- Comfortable working in a startup environment with shifting priorities and open threads

Nice to have:

- Experience building and scaling systems to support LLM-serving infrastructure
- Exposure to infrastructure-as-code (e.g. Terraform, Pulumi) and Kubernetes
- Prior experience with SOC 2, ISO 27001, or similar audits
- 0→1 startup experience and ability to navigate ambiguity with ownership
- DevOps mindset: build, monitor, fix, and improve continuously

Why Join Alinia?

- Cutting-edge tech: Work on one of the most important challenges in AI—alignment, safety, and trust
- High ownership & growth: Be a core part of the early engineering team with massive upside
- Flexible work: Hybrid or remote work, with preference for CET time zone
- Collaborative culture: Small, experienced, mission-driven team
- Impact: Directly shape the technical foundation of an AI governance platform adopted by enterprises

## 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
- [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-alinia-ai-barcelona-7r7pfs2j8rf2) — Barcelona, Spain
- [Back-End Engineer](https://feeny.ai/job/back-end-engineer-transfergo-vilnius-4h9f5pvscvr4) — Vilnius, Lithuania
- [Back-End Engineer](https://feeny.ai/job/back-end-engineer-kpler-athens-wn8634agzjzb) — Athens, Greece
- [Back-End Engineer](https://feeny.ai/job/back-end-engineer-fifthdoor-com-san-francisco-b2a1dxn2pp9q) — San Francisco, CA