Must have

• NLP

• AI

• Python

• SQL

• GitHub

• CD pipelines

• Cloud platform

• Azure

• GCP

• English

Requirements description

• Strong understanding of LLM architectures and expertise in fine tuning pre trained models on domain

specific data.

• Experience with RAG (Retrieval Augmented Generation), Prompt Engineering concepts and fundamentals

(Vector DBs).

• In depth knowledge of machine learning, deep learning, and NLP. Manage prioritization and technology

work for building NLP, ML & AI solutions experience in experimenting and developing with LLM

• Follow AI best practices, ensuring fairness, transparency and accountability in AI model and system.
• Good exposure in Python and strong knowledge in SQL, GitHub. Be familiar with CI/CD pipelines.
• Cloud Platforms knowledge must: Azure /GCP
• Strong communication/presentation skills in English, can present technical solutions, capabilities,

considerations, and features to business parties.

Offer description

Some careers shine brighter than others.

If you’re looking for a career that will help you stand out, join HSBC, and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

Your career opportunity

We are seeking a skilled and innovative Software Engineer to join our AI team. The ideal candidate will have a deep understanding of Large Language Models (LLMs) and hands-on experience in fine-tuning and deploying AI models tailored to specific domains. You will play a key role in developing cutting-edge NLP and machine learningmsolutions by designing effective prompts, integrating RAG (Retrieval-Augmented Generation) systems, and contributing to the overall performance and reliability of AI-driven tools.

What we offer

• Competitive salary
• Annual performance-based bonus
• Additional bonuses for recognition awards
• Multisport card
• Private medical care
• Life insurance
• One-time reimbursement of home office set-up

(up to 800 PLN).

• Corporate parties & events
• CSR initiatives
• Nursery discounts
• Financial support with trainings and education
• Social fund
• Flexible working hours
• Free parking

Your responsibilities

1. Design, test, and optimize prompts for LLMs to achieve high-quality outputs across various use cases.
2. Fine-tune pre-trained models using domain-specific data to improve accuracy and contextual understanding.
3. Develop and implement solutions using Retrieval-Augmented Generation (RAG) and manage vector databases.
4. Lead or contribute to the design and development of NLP, ML, and AI systems.
5. Apply AI best practices to ensure fairness, transparency, and accountability in AI models and applications.
6. Collaborate with cross-functional teams to align technical efforts with business goals.

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