About the Role

Nexent Bank NV is building a dynamic Generative AI team to design and deliver cutting-edge AI solutions that enhance internal operations, customer experience, and developer productivity. We are seeking a Generative AI Developer who is passionate about AI and eager to contribute to building intelligent agents, copilots, and LLM-powered services, integrating them into our banking ecosystem.

This is a unique opportunity to be part of a small, agile team leading the AI transformation in a regulated, multi-country banking environment. We value curiosity, a desire to learn, and a foundational understanding of programming principles.

Key Responsibilities

AI Agent & Copilot Development:

• Design, build, and deploy AI agents and copilots for internal and customer-facing use cases.
• Integrate AI capabilities into banking applications using natural language interfaces, intelligent automation, and smart routing.
• Continuously refine solutions using performance data and user feedback.

Ownership & Maintenance:

• Take end-to-end ownership of Gen AI services and applications.
• Ensure operational reliability, scalability, and integration with Azure-based infrastructure.
• Implement monitoring, versioning, and secure deployment practices.

Market Research & Technical Evaluation:

• Track emerging Gen AI tools, frameworks, and APIs.
• Conduct technical assessments of new technologies and prepare internal reports.

LLM Integration & Application:

• Explore and integrate various LLM providers (e.g., OpenAI, Azure OpenAI, Mistral, Cohere, Meta Llama) for banking-specific scenarios.
• Contribute to building a hybrid/multi-model approach.

Data-Driven Model Enhancement (RAG & Fine-tuning):

• Develop or integrate Retrieval-Augmented Generation (RAG) pipelines to enhance contextual understanding of LLMs.
• Participate in fine-tuning models using bank-specific data.

Measurement & Optimization:

• Help define metrics and KPIs to assess solution adoption and impact.
• Analyze interaction data to drive continuous improvement.

AI Fluency & Best Practices:

• Contribute to internal knowledge sharing, including documentation, workshops, and awareness sessions on AI topics.
• Support the adoption of AI-driven tools like Microsoft 365 Copilot and GitHub Copilot within engineering teams.

Ethical AI Awareness:

• Collaborate with compliance, legal, and risk teams to ensure AI systems adhere to governance, transparency, and ethical standards.

Required Skills & Experience

• 3+ years of software development experience, with a strong interest in AI/ML concepts and their application.
• Strong proficiency in Python for building applications, data processing, and APIs.
• Experience with React for building modern web applications.
• Foundational understanding of AI/ML concepts, including a keen interest in Large Language Models (LLMs), prompt engineering, and model evaluation.
• Familiarity with, or a strong desire to learn, cloud-based AI services such as Azure AI services, Azure OpenAI, or similar platforms.
• Exposure to or an eagerness to work with AI frameworks/libraries like LangChain, Semantic Kernel, LangGraph, or Haystack.
• Basic understanding of data integration patterns for AI applications, including concepts behind RAG pipelines.
• Knowledge of software development best practices, including monitoring, versioning, and secure deployment.
• Strong collaboration and communication skills across technical and non-technical teams.

Nice to Have

• Hands-on experience with Microsoft 365 Copilot or GitHub Copilot.
• Familiarity with vector databases (e.g., FAISS, Pinecone, Azure AI Search, PG Vector).
• Understanding of DevOps practices and CI/CD pipelines for AI applications.
• Prior experience in the banking or financial services sector.

What We Offer

• Opportunity to lead and shape Gen AI innovation in a multinational banking group.
• A commitment to your learning and development in emerging AI tools and certifications.
• Collaborative environment with access to cutting-edge technologies and cloud infrastructure.
• A culture of innovation, transparency, and continuous improvement.