AI Scientist

At XTM Group , we build technology that helps enterprises connect with global audiences faster and more efficiently. Our Translation Management platform enables organizations to automate and streamline every stage of the localization process.

We believe innovation happens when talented people collaborate, experiment, and continuously learn. That’s why we foster an inclusive, solution-oriented culture where curiosity, teamwork, and ownership are valued every day. Our mission is to become the leading enterprise Translation Management System — and we’re looking for people who want to help shape the future of global communication technology.

The Role

Hybrid Working Requirement: Candidates should be flexible to attend our Marousi, Athens office 3 times per week. Please note that travel or commuting expenses will not be covered for candidates residing outside Attiki or outside a reasonable commuting distance.

This is an individual contributor role, and the successful candidate will not have direct people-management responsibilities.

XTM is looking for an AI Language Scientist to shape how we build and apply artificial intelligence across our translation and localization ecosystem.

This is a high-impact role for an AI expert who wants to operate at the intersection of deep technical research, product roadmap, and hands-on engineering. You will be XTM’s core technical authority on AI—helping us identify genuinely useful capabilities, avoid hype, and build high-value, production-ready features for our global enterprise customers.

Primary Responsibilities

1. AI in Language Technology (Core Focus)

• Explore how advances in AI disrupt and enhance traditional translation, terminology, localization, and multilingual content workflows.
• Identify high-value opportunities where LLMs, RAG, and custom models directly improve automated translation quality, workflow automation, and enterprise localization tools.
• Leverage XTM's existing localization expertise and proprietary data to create unique competitive differentiation.

2. AI Research & Innovation

• Stay at the forefront of AI/ML developments (LLMs, multimodal AI, agentic systems, vector embeddings, fine-tuning).
• Design and execute prototypes, experiments, and proof-of-concepts to validate new capabilities before handing off to product.
• Establish rigorous metrics for model evaluation, quality, reliability, accuracy, latency, and cost.

3. Product & Engineering Collaboration

• Work closely with Product and Engineering teams to turn successful experiments into production-ready capabilities.
• Partner with engineers to move prototypes to scalable implementations and define technical requirements for AI-powered features.
• Write clean Python code and contribute hands-on technical implementations where appropriate.

4. AI Strategy & Technical Direction

• Partner with Product, Engineering, and executive leadership to define XTM’s AI vision and technical roadmap.
• Conduct build-vs-buy evaluations across models, platforms, frameworks, and AI infrastructure.
• Set internal standards for experimentation, evaluation, responsible AI, and production readiness.

5. Industry Voice & Community Engagement (Secondary Focus)

• Serve as an external voice for XTM by writing occasional research-led articles, presenting at key industry events, or engaging with academic and open-source AI communities. (Note: Primary focus remains internal research and product execution).

Requirements

Essential

• 5+ years of professional experience in AI, Machine Learning, NLP, Generative AI, or a closely related field.
• Domain Expertise: Proven experience in NLP, translation technology, computational linguistics, or working with large multilingual datasets.
• Hands-on LLM Experience: Demonstrated success building with LLMs, modern ML frameworks, transformers, RAG, vector search, and model fine-tuning.
• Engineering Skills: Strong Python skills and the ability to build functional prototypes and write production-grade code alongside engineering teams.
• Pragmatic Evaluation: Proven ability to critically evaluate emerging tech against real-world metrics (accuracy, latency, cost) rather than adopting trends.
• Communication: Exceptional ability to explain complex AI concepts clearly to both technical and non-technical stakeholders.

Highly Desirable

• Advanced degree (Master’s or PhD) in Computer Science, AI, NLP, or computational linguistics.
• Experience with agentic AI workflows, tool-using LLMs, and AI observability frameworks.
• Prior experience in enterprise B2B SaaS environments.
• Published research, patents, or active open-source contributions.

What Success Looks Like (First 12 Months)

• Quarter 1: Established an audit of XTM’s AI capabilities and built a streamlined framework for evaluating emerging models.
• Quarter 2: Delivered initial prototypes that successfully validate new AI-driven language features for the product roadmap.
• Quarter 3: Partnered with …