Apply for job
View Job
We are the 1st Hub for Developers! Our motto is “From Developers to Developers”! Our vision is to provide real career opportunities for candidates that want to take the next step in their career. Code.Career is the first process that you will speak with developers (only!) and tech (freak) experts!
Our client is an international solutions provider for the Banking and Investment Management industry, listed on the Athens Stock Exchange, with clients in more than 50 countries. The company has recently established the AI & Innovation Department, a dedicated team focusing on developing and delivering applied AI solutions to enhance its product portfolio and client offerings.
Job Summary:
As an AI Engineer, you will be a key member of the AI & Innovation team, working closely with other engineers and the Head of AI. You will be responsible for designing, developing, and deploying AI models and pipelines, with a strong focus on Large Language Models (LLMs) and Generative AI. This is a hands-on role, ideal for someone passionate about applying state-of-the-art AI technologies to real-world enterprise problems in the financial services domain.
Key Responsibilities:
- Design and implement end-to-end ML/LLM pipelines (data preprocessing, embeddings, model integration, deployment).
- Develop and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases and embeddings.
- Work on document intelligence projects, including parsing, classification, and information extraction from unstructured text.
- Contribute to text-to-SQL and text-to-API solutions, enabling natural language queries over structured data and APIs.
- Collaborate with the team to build speech-to-text models (with a focus on Greek language datasets).
- Integrate models into enterprise applications using APIs, Docker, and cloud environments.
- Evaluate, monitor, and improve the performance of AI systems in production.
- Stay up to date with the latest trends in Generative AI, NLP, and ML research.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
- 3–5 years of experience in Machine Learning, Data Science, or AI Engineering, with at least 1–2 years hands-on experience with LLMs/Generative AI.
- Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow, HuggingFace Transformers).
- Experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI, HuggingFace).
- Hands-on experience with RAG pipelines, vector databases (e.g. FAISS, Pinecone, Chroma), and LangChain.
- Knowledge of prompt engineering, fine-tuning, and model evaluation.
- Experience deploying ML models into production using APIs, Docker, cloud platforms (Azure, AWS, or GCP).
- Familiarity with SQL and structured data processing.
- Strong problem-solving skills and ability to adapt AI solutions to new business domains (finance/banking experience is a plus).
Nice-to-Have:
- Experience with speech-to-text systems or multilingual NLP.
- Previous exposure to financial services/banking applications.
- Familiarity with MLOps tools (monitoring, CI/CD for ML, LangSmith, LangFuse).
What They Offer:
- Hybrid working model.
- Opportunity to work on cutting-edge AI projects with real-world impact in the financial services industry.
- Exposure to international clients and enterprise-grade solutions.
- A collaborative, innovation-driven environment with growth opportunities.
Manage Consent
Functional Always active
We use cookies to ensure the proper functionality of our website, enhance your browsing experience, and provide personalized content. Functional cookies are essential for enabling basic features such as page navigation, secure access to areas of the site, and remembering your preferences. Without these cookies, our website cannot perform optimally.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes.
The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.
