Programozó állások XXI. kerületben (it programozás, fejlesztés)

• Design and build agentic systems that plan, call tools and automate real business workflows
• Develop LLM-powered applications including RAG pipelines: chunking, embedding, retrieval strategies, evaluation and iteration

• Technical management of a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients
• Development of highly scalable services realizing AI/ML functionalities

• CI/CD-folyamatok tervezése, felépítése és üzemeltetése (Azure DevOps, GitLab CI, GitHub Actions vagy Jenkins)
• Infrastruktúra kezelése kód formájában (Terraform, Bicep/ARM, Ansible)
• Konténeres környezetek felépítése és üzemeltetése (Docker, Kubernetes / AKS)

• Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform
• Building robust, scalable pipelines using Azure Databricks (PySpark / SQL)
• Design and enforcement of data architecture standards including Delta Lake / Lakehouse architecture and data modeling

• Embedding in the daily life of up to three engineering teams: Customer Platform and Scoring
• Ensuring technical design alignment with SEON's architectural best-practices
• Ensuring security, scalability, and compliance in technical designs

• Building and maintaining the GRC Brain (AI reasoning layer) and Agentic Cortex (agent orchestration framework)
• Designing and implementing a 7-agent architecture including OnboardingAgent, ScopeAgent, StandardsMapper, RiskQuantifier, PolicyAnalyzer, InfrastructureAuditor, and ComplianceMonitor

Shaping AWS architectures and technical decisions for web applications, SaaS platforms and enterprise environments...

• Ownership of data engineering features, architecture, and code quality
• Design, implementation, and maintenance of Databricks-based data pipelines and workflows
• Building and optimization of ETL/ELT processes using Apache Spark on Databricks

• Chunking and ingestion architecture with deterministic, validation-gated pipelines handling diverse enterprise document types with indexing and contextual enrichment
• Retrieval pipeline with vector search, BM25 hybrid retrieval, RRF re-ranking, embedding model selection and optimisation

• Architect and lead the development of large-scale ML systems and model pipelines
• Introduction of new ML systems such as traffic sign detection, building facade detection, and other computer vision-based solutions
• Definition and driving of the ML technical roadmap in alignment with company objectives

• Kollaboratív robot vezérlőalgoritmusok fejlesztése és karbantartása Python nyelven
• Algoritmusok tesztelése, élesztése és beállítása a helyszínen
• Admittance/impedance alapú erőszabályozás implementálása és finomhangolása

• Design and implement cloud-based application architectures based on Microsoft 365
• Build and optimize Dev-Test-Int-Prod deployment pipelines using Azure DevOps
• Develop enterprise applications using PowerApps (Model-Driven and Canvas Apps)

• Implementation of end-to-end analytics and dynamic visualizations in Tableau, ThoughtSpot, SAP Analytics Cloud, or equivalent enterprise BI platforms
• Preparation, transformation, and modeling of data using SQL, Python, or dbt leveraging enterprise cloud environments like Snowflake and Microsoft Azure

• Design and develop cloud-native application architectures using Microsoft 365 technologies
• Develop and maintain PowerApps applications for enterprise use cases
• Design and implement Power Automate workflows to orchestrate business logic and automate cross-platform processes

• Design and develop scalable Salesforce solutions across Sales Cloud, Service Cloud, and Health Cloud
• Build and enhance user experiences using Lightning Web Components and Aura Components

• Maintenance and enhancement of an automated market-making application
• Development and maintenance of C++ and python backend applications and services used in brokerage-related systems
• Investigation of issues in existing software, identification of root causes, and implementation of reliable fixes

• Design, optimize, and extend transaction surveillance and data pipeline processes
• Navigate between strategic, system-level architecture and function-level implementation details of surveillance system
• Optimize data architectures and databases for maximum performance and reliability

• Development and maintenance of the C++ application and related scripts
• Work in a Linux environment using GCC and common command-line development tools
• Investigation of issues in existing software, identification of root causes, and implementation of reliable fixes

• Development and maintenance of modern Angular-based applications with focus on Angular 22
• Collaboration with cross-functional teams in an Agile development environment
• Ownership of application quality, performance, and maintainability

• Development and maintenance of modern Angular-based applications with focus on Angular 22
• Collaboration with cross-functional teams in an Agile development environment
• Ownership of application quality, performance, and maintainability