Senior AI Engineer – Athens
7 days ago
We are partnering with a fast-growing company that is transforming how businesses leverage Artificial Intelligence to automate financial and document workflows. With advanced products and a dynamic international team, the company is looking to expand its AI & Engineering hub in Athens.
What's Offered
- Competitive salary package
- Hybrid work model – flexible in-office and remote days
- Private health insurance & wellness perks
- Opportunity to work on cutting-edge fintech and AI products impacting global markets
- Growth-oriented culture with continuous learning, training, and career development opportunities
The Role
As a
Senior AI Engineer
, you will play a key role in designing, developing, and deploying production-grade AI and LLM-powered solutions that enhance intelligent automation and decision-making across the company's SaaS platform. You'll collaborate closely with data engineers, product managers, and software developers to turn advanced AI concepts into scalable, real-world applications.
Responsibilities
- Design, implement, and optimize AI/LLM systems for financial document understanding, information extraction, and conversational interfaces
- Build and maintain production-ready ML pipelines and APIs
- Collaborate with cross-functional teams to integrate AI capabilities into core fintech products
- Ensure model reliability, performance, and scalability in production environments
- Conduct prompt engineering, fine-tuning, and evaluation of LLMs for specific business tasks
- Stay current with the latest advancements in AI/ML, LLMs, and applied NLP research
- Contribute to the team's technical excellence by mentoring and sharing best practices
Requirements
- 3–4+ years of professional experience in AI/ML engineering or applied NLP
- Strong hands-on programming skills in
Python - Proven experience with
Large Language Models (LLMs)
and frameworks such as
OpenAI API, Hugging Face, or LangChain - Solid understanding of embeddings, vector databases, retrieval-augmented generation, and model deployment practices
- Experience building and maintaining AI/ML pipelines in production environments
- Familiarity with modern software engineering tools (Git, CI/CD, Docker)
- Excellent communication skills in English and ability to work collaboratively in hybrid teams
Nice-to-Have
- Experience in
fintech
or
SaaS
product environments - Exposure to
cloud platforms
(AWS, GCP, or Azure) and
MLOps
tools - Knowledge of
document AI
, OCR, or real-time data processing systems - Prior mentoring or leadership experience in AI/ML projects
If you're passionate about applying cutting-edge AI and LLM technologies to solve real-world fintech challenges and want to grow within a collaborative, innovative team, we'd love to hear from you.
Apply now
to join a company where your work directly shapes the future of AI-driven financial automation.
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