Peak Financal Services
Budapest, Hűvösvölgyi út 32.
1M – 1.4M HUF alkalmazotti havi bruttó
Elvárások
- Python
- AI
- NLP
- TypeScript
- Node.js
- Magyar
- Angol
A mi követelményeink
Eredeti szöveg. Fordítás megjelenítése
- Experience with
- Event-Driven architecture is a must
- CQRS pattern
- writing code that balances performance and maintainability
- RDBMSs and schema design
- 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.
Pozíció / projekt rövid leírása
Eredeti szöveg. Fordítás megjelenítése
Are you ready to drive the future of AI in fintech?PEAK is searching for a Backend Engineer 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.
Our Tech Stack
Here’s a look at the technologies you’ll be using:
• Programming & Frameworks: TypeScript, NodeJS, Python, NestJS, React, Next.js
• Data: Postgres, Redis, Weaviate, Pinecone
• AI & GenAI Tools: OpenAI (GPT, fine-tuning, function calling, embedding), LangChain, LLamaindex
• Data Visualization: D3.js
• ORM: Prisma• DevOps & Infrastructure: Microsoft Azure, NX Monorepo
Why Join Us?
PEAK is more than a workplace; it’s a launchpad for innovation. Here’s what we offer:
- Flexible Work Environment: Choose your ideal mix of office, home, or hybrid work.
- Innovation-Driven Culture: Participate in in-house research, training, and innovation events.
- State-of-the-Art Tools: Work with the latest OpenAI models, RAG frameworks, and tech designed to drive results.
- Professional Development: Continuous learning, conference attendance, and access to leading tools and resources.
- Competitive Pay: We recognize and reward your skills and contributions.
Napi feladatok
Eredeti szöveg. Fordítás megjelenítése
- Design, write, test, and deploy scalable code
- 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.
mutass kevesebbet
Specifikációk
- Toborzás nyelvei: magyar
- Azonnali kezdés
- Rugalmas távmunka
Biztosított eszközök
- Apple
- Számítógép: Notebook
- Monitorok: Egy
Irodán belüli juttatások
- Ingyenes kávé
- Zuhanyzó
- Ingyenes snack
- Ingyenes italok
- Startup hangulat
- Modern iroda
- Nincs dress code
- Ingyenes reggeli
- Belső képzések
Extrák
- Sportcsomag
- Magánegészségügyi ellátás
- Kis létszámú csapat
