GenAI Developer @ Peak Financal Services Budapest

GenAI Developer @ Peak Financal Services

Budapest

• Expertise in GenAI Development: Solid experience in developing GenAI solutions, including fine-tuning and modular component design.
• Hands-on Skills in RAG, NLP, or expertise with LLM integration: Proficiency with Retrieval-Augmented Generation, NLP, and building reusable, modular AI components.
• Strong Technical Skills: Proficiency in TypeScript, NodeJS, Python, and familiarity with OpenAI, LangChain, and vector databases.
• Problem Solver: Analytical mindset with a passion for transforming complex challenges into user-friendly, modular solutions.
• Collaborative Mindset: Ability to work cross-functionally with engineers, data scientists, and product managers to create scalable, impactful solutions.

Are you ready to drive the future of AI in fintech?

PEAK is searching for a GenAI Developer to join our team of innovators. We’re partnering with top-tier banks to revolutionize financial services using advanced GenAI technologies. This role is perfect for a hands-on developer with experience in fine-tuning, RAG, NLP, and designing agentic workflows to deliver impactful AI-driven solutions.

PEAK is all about innovation, teamwork, and driving real change. We foster a culture of openness, creativity, and collaboration. With us, you’ll work on products that directly impact thousands of end users, creating solutions that simplify complex data and transform financial services.

,[Develop Modular, Reusable AI Components: Design AI components that are flexible and reusable across different projects, optimizing development efficiency and scalability., Develop Agentic Workflows: Create autonomous, agent-driven workflows that allow AI agents to make contextual decisions, respond intelligently to user inputs, and initiate actions independently within complex data environments., Fine-Tune and Optimize Models: Use fine-tuning techniques to customize large language models (LLMs) for specific tasks, optimizing performance and enhancing relevance for end-user needs., Build Retrieval-Augmented Generation (RAG) Solutions: Integrate RAG methods to power AI systems that retrieve and generate contextually accurate answers, providing seamless and precise information to users., Advance Natural Language Processing (NLP) Capabilities: Develop NLP models that analyze, understand, and generate language, enhancing user experience and automating complex workflows., Deliver High-Impact AI Solutions: Work on specialized AI agents that don’t just respond to questions but aid in decision-making, automate data processing, and deliver real-time insights for the financial sector., Research and Innovation: Conduct research, explore new GenAI techniques, and bring fresh ideas to our RAG framework, driving continuous innovation for our banking clients.] Requirements: TypeScript, Node.js, Python, NestJS, React, Next.js

Kategorie

artificialIntelligence

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