Engineer ai állások Budapesten (programozó, fejlesztő)

• Develop and operationalize solutions across classical AI/ML/DL and generative AI use cases
• Build, evaluate, and optimize machine learning and deep learning models for business applications
• Integrate data and AI services from APIs, third-party platforms, cloud services, and internal systems

• Design and build Agentic AI systems (planner/executor patterns, tool calling, memory strategies)
• Adapt and deploy LLMs, including fine-tuning and optimizing performance
• Implement and improve RAG (retrieval-augmented generation) pipelines

• AI megoldások tervezése és megvalósítása Microsoft Copilot, Microsoft 365, Agent építés, Power Platform és egyéb Microsoft felhőszolgáltatások felhasználásával
• Integrált rendszerek, egyedi alkalmazások, pluginek és automatizált folyamatok fejlesztése AI képességek alkalmazásával

• Build and maintain internal tooling and UIs — workflow dashboards, content review interfaces, and evaluation visualization.
• Develop backend APIs using Typescript and Node.js that integrate with the agentic workflow platform.

• Design, build, and maintain reliable CI/CD pipelines using tools such as Jenkins or GitLab CI
• Support containerization efforts and manage orchestration environments using Docker and Kubernetes
• Assist in operating and optimizing cloud infrastructure across AWS, Azure, or Google Cloud

Development of highly scalable services realizing AI/ML functionalities Implementation of machine learning solutions addressing computer vision and NLP use cases Work with Large Language Models (LLMs) and perform prompt engineering tasks Design and implementation of data transformation services for...

Design and ship production-grade agentic systems Take technical ownership of Compliance in a Box (CiaB) AI platform Architect and evolve AI reasoning layer and agent orchestration framework Build and maintain the GRC Brain (AI reasoning layer) and Agentic Cortex (agent orchestration framework)...

Setting the technical direction for AI-enabled platform Architecting secure, scalable, serverless systems on AWS Defining patterns and governance practices for multiple teams Guiding AI value addition across the stack Mentoring senior engineers Leading org-wide design decisions Writing code with...

Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems Build automated AI testing and evaluation frameworks Collaborate with Applied Scientists and Software Engineers to implement and productize AI-based capabilities Shape and develop the teams AI platform infrastructure...

Design, develop, and maintain scalable data pipelines and systems to support data integration and analytics Establish best practices for data management, including data quality, data governance, and data security Collaborate with stakeholders to understand data requirements and deliver actionable...

Development and maintenance of a high-quality catalog of pre-built applications, API connectors, and custom UI widgets Design and testing of AI-centric user journeys for Tulip builders Management of the end-to-end development lifecycle of Library assets from concept scoping to quality assurance...

Data exploration, profiling, cleansing, and preprocessing for analytics and reporting Design and management of workflows for storing and retrieving vectorised documents for AI use cases Application of embedding models to build AI-driven solutions Leveraging modern AI and machine-learning techniques...

Software design and test of reference application processor firmware Low level software development, test and debug on various platforms Creation of software stacks for Arm’s reference platforms for future Arm devices Development of test code for software stacks Creation of automation solutions to...

Development and maintenance of scalable web applications using Angular or React Building and optimization of RESTful APIs and microservices using Node.js, Java, or .NET Definition and management of cloud infrastructure using Infrastructure as Code such as Terraform or OpenTofu Working with...

Technology platform provision for research, implementation, delivery and execution of financial risk models Onboarding of models to the technology platform Collaboration with modellers on implementation and deployment of financial risk models Translation of client requirements into software...

Setting technical direction across teams Leading design of secure, scalable MCP hosts and AWS microservices Influencing AI adoption through AI first solution design, model guidance, prompt strategy, and built-in governance and monitoring Shaping roadmaps with Product, Security, and DevOps to...

Golden Path Architecture: Design and implement the "Golden Paths"—standardized, automated templates for microservices and infrastructure that allow developers to deploy safely and quickly without needing deep infrastructure expertise. Self-Service Tooling: Develop the CLI tools, portals, or API...

Design, develop, and maintain scalable fullstack applications using .NET and Angular Integrate and manage messaging systems such as Kafka and RabbitMQ Deploy and manage applications using Docker and Kubernetes in AWS environments Work with various databases including PostgreSQL, MSSQL, and...

Design, implement, review, and test features in an Agile environment Contribution to system architecture and future-state platform design Build and optimize scalable data processing solutions Develop and integrate AI/ML capabilities into data workflows Prototype and validate backend approaches...

Design and delivery of secure, high-performance microservices on AWS Driving architecture decisions and empowering team members through mentorship Setting technical direction across multiple teams Spotting system pain points and proposing improvements Pioneering AI-driven solutions by advising on...