Engineer állások XXIII. kerületben (it programozás, fejlesztés)

Writing and maintaining clean, high-quality, efficient and well tested code aligning with project specifications Architecting and implementing key abstractions bridging Software Engineering and DevOps Proactively identifying pain points in the platform and proposing elegant solutions Collaborating...

Build and maintain data models and pipelines primarily using AI coding tools with consistent best-practice patterns, clear documentation, and high-quality standards Build and improve agentic coding workflows to accelerate data modeling and testing while staying in the loop on business logic,...

Daily operations ensuring seamless and timely data flow to product pages Identification of opportunities to enhance data pipelines and alerting mechanisms Collaboration with internal and external teams to resolve issues and deliver tactical and strategic initiatives Application of quality...

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...

Maintenance of the Tulip Operating System including building, packaging, and support Configuration and maintenance of routing, networking, and device configurations Maintenance and addition of bootloader, kernel patches, and device trees on Tulip hardware Porting the Tulip OS to other hardware...

Design and implement agent-to-agent communication patterns and multi-agent collaboration workflows Integrate LLMs, RAG pipelines, and external APIs/tools into end-to-end agent systems Develop, test, and iterate on orchestration logic including routing, planning, tool selection, error handling, and...

Formal verification algorithms usage to prove correctness of complicated logic problems Identification of key behaviors for verification to write clear testplans for complex designs Implementation of testplans using innovative formal techniques Driving tools to realize their best performance...

• Design, develop, and maintain interactive Power BI dashboards and reports to support business decision-making.
• Develop and optimize complex DAX measures, data models, and tabular solutions for scalable analytics.

• Design, develop, test features for S/4HANA Asset Management according and in compliance with SAP development guidelines, product standards and KPIs
• Adhere to SAP development standards, guidelines and best practices

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 Agent...

• ETL folyamatok tervezése, fejlesztése, optimalizálása
• Adatáramlási rendszerek üzemeltetése és finomhangolása
• Skálázható adattárházak és adatpiacok kialakítása
• Logikai és fizikai adatmodellek létrehozása
• Sémadefiníciók karbantartása, fejlesztése
• Interaktív műszerfalak és riportok készítése

• 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.

• Define and execute test strategies across the full stack: backend APIs (FastAPI), frontend UIs, and agentic workflows.
• Define testing standards and frameworks that enable developers to own unit and integration test coverage, in line with a shift-left quality model.

• Learn devops principles
• Design and implement CI/CD pipelines
• Work with Ansible, Docker and Kubernetes and various PaaS solutions
• Study large scale, cloud native software architectures
• Gain experience working in agile DevOps methodology
• Gain experience working at a fast-growing, truly colourful company

• Learn data engineering principles
• Learn to design and implement ETL processes and pipelines
• Work with SQL, Python and different programming languages and notebooks
• Learn Power BI report building, Data Bricks and various ETL tools

• Learn Generative AI principles and models
• Learn Large Language Models, Natural language processing
• Work with Different generative AI Tools and uses
• Learn the LLMs, NLP fundamentals, Transformers, and attention mechanism
• Build Custom dataset for LLM, Build your own custom chatbot/AI bot/custom GPT

• Learn QA/testing principles
• Design and implement automation end to end tests
• Work with Playwright or similar testing frameworks
• Learn large scale, cloud native software architectures
• Work in agile development methodology
• Gain experience working at a fast-growing, truly colourful company

Implementation of safety mechanisms and diagnostics Low-level driver development Register-level development Interrupt handling Memory and peripheral diagnostics Watchdog management Clock, reset, and power supervision Implementation of startup/runtime diagnostics Fault detection and handling Robust...

• Design, implement, and maintain data warehouse solutions
• Build robust ETL pipelines to ingest and transform data from various sources into target storage (cloud, data lake, warehouse), ensuring data integrity

• 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