--- title: 'Applied AI Research Intern at alinia.ai' canonical: 'https://feeny.ai/job/applied-ai-research-intern-alinia-ai-spain-6k8av9hgg09j' type: 'job' last_seen: '2026-09-09' --- # Applied AI Research Intern at alinia.ai - **Company:** alinia.ai - **Location:** Spain - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-07-02 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.gem.com/alinia-ai/am9icG9zdDrncD08rCJoVL3bQUn0vYPi ## Job description ## About Alinia We are an early-stage AI startup on a mission to enable the safe and compliant deployment of AI Agents in regulated industries, worldwide, through our Regulatory Guardrails & Auditing platform. We ensure conversational AI agents adhere to companies’ business policies and regulations at scale, like [Investment Guard](https://alinia.ai/investment-guard/). We envision a future where compliance is encoded in any autonomous system, steered by human experts. The goal is to augment compliance experts’ capabilities, empowering them to become key enablers in the deployment of AI Agents in the most critical scenarios at scale. Co-founders Ari and Carlos come from leading ML platform at Twitter and LLM governance at Hugging Face. At Alinia, our Applied AI Research Interns play a pivotal role in exploring new possibilities and capabilities for Alinia's Alignment Platform. This role demands a scientific mindset, a technical understanding of LLMs, and LLM development experience. We expect our interns to be self-motivated, action-oriented and hands-on. During the internship, interns will be expected to design, execute, and deliver their solutions to key challenges our customers encounter with the safe and responsible deployment of LLM applications. However, we don’t expect our interns to work alone. A mentor will be assigned throughout the internship to provide guidance, planning, and support. Interns will also be expected to participate in weekly meetings where they will share progress and present results. This role is designed for students who are ready to apply their expertise actively and decisively within a dynamic development environment. ## Role Overview Developing a robust and holistic alignment strategy and platform that combines state-of-the-art evaluation and optimization techniques, Responsible AI best practices and the realities of running a business is a complex task with applied research at the center. As an Applied AI Research Intern at Alinia, you will experimentally design, develop, evaluate, and execute a project to support the training, evaluation, or use of Large Language Model (LLM)-based guardrails. Example projects include, but are not limited to: - The development of a robust, automated approach to quantitatively measure synthetically-generated data quality. - The incorporation of explanations for our LLM guardrails to provide post-hoc rationales for why content was blocked. - Pruning and quantization of LLMs without sacrificing out-of-distribution performance. We strive to create intern projects that provide the right mix of problem solving, learning, and real-world application as possible while also aligning with the student’s interests. As a member of a small team, this role presents a unique opportunity to make direct contributions to a real-world product. Your work will directly shape the art of the possible for our customers and their clients. ## Minimum Qualifications - MS student in Computer Science, AI, Linguistics, or a related field. - Proven experience in LLMs, ML, or NLP. - At least one publication in reputable AI, ethics, or machine learning conferences and journals. - Strong programming skills in Python. - Experience with ML frameworks such as TensorFlow, PyTorch, or JAX. - Demonstrated knowledge and practical experience in LLM training (Please note: this is a strict requirement for the position). ## Preferred Qualifications - PhD student in Computer Science, AI, Linguistics, or a related field. - Contributions to open-source projects or public datasets in the field of AI. - First-author publications at peer-reviewed AI conferences. - Experience with synthetic data generation, LLM as a judge frameworks, LLM post-training. - Experience with explainable AI (XAI). Why Join Alinia? - Cutting-edge tech: Work on one of the most important challenges in AI—alignment, safety, and trust - 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 - [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-alinia-ai-barcelona-7r7pfs2j8rf2) — Barcelona, Spain