Python developer állások VIII. kerületben (ai és automatizáció)

Leading the design, development, and deployment of scalable, resilient, and high-performance components for the Wise Assistant, including core Java microservice consuming Kafka messages, and contributing to Typescript and Python codebases...

• CI/CD pipeline-ok kialakítása, fejlesztése és karbantartása
• Deployment és release folyamatok automatizálása
• Cloud infrastruktúrák üzemeltetése és optimalizálása
• Konténerizált környezetek kezelése (Docker, Kubernetes/OpenShift)
• Monitoring, logging és alerting rendszerek kialakítása és üzemeltetése

Acting as the strategic bridge between business stakeholders and technical developers, ensuring clear communication, alignment of expectations, and the facilitation of requirement review sessions...

• Leading and developing the three-person QC function, including workload planning, prioritization and performance management
• Defining daily and weekly QC priorities based on project deadlines, production capacity and quality risk

• Contributing directly to the successful delivery of client engagements focused on banking strategy and innovation
• Crafting long-term strategies and identifying new growth opportunities within and beyond clients' core businesses

• Writing reusable, testable, and efficient code, mainly in Python
• Mastering the integration of user-facing elements developed by front-end developers with server side logic
• Being a magician of integration of data storage solutions
• Handling security and data protection professionally and precisely

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

• 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)

Building and maintaining the GRC Brain (AI reasoning layer) and Agentic Cortex (agent orchestration framework) — the technical core of the Compliance in a Box product...

• Technically managing a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Providing mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients

Embedding in the daily life of up to three engineering teams: Customer Platform (customer-facing applications, APIs, tenant management and provisioning) and Scoring (rules, scoring models and real-time decisioning)...

• Building and optimizing inference pipelines for large-scale model serving (LLMs and beyond)
• Working with frameworks like PyTorch, TensorRT, and vLLM to deploy models efficiently

• A kutatás és fejlesztési projektek végigkövetése a tervezéstől az átadásig
• Beágyazott vezérlők programozása C nyelven
• Prototípus berendezések beüzemelése, tesztelése
• Gépész-, villamos- és mechatronikai mérnökökkel való együttműködés
• Dokumentáció írás angolul és magyarul
• Szoftver- és hardvertesztelés

• Developing and deploying AI-powered applications using modern software engineering practices
• Integrating Large Language Models (OpenAI, Azure OpenAI, Anthropic) into business solutions
• Building scalable backend services using Python or Node.js
• Developing intuitive user interfaces with React or Angular

Designing, optimizing, and extending transaction surveillance and data pipeline processes to enhance system efficiency, reliability, and scalability...

• Designing and implementing pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Actively monitoring and optimizing pipelines for performance and cost
• Configuring pipeline deployments and managing environment settings using IaC tools (Terraform) and CI/CD

• Leading the design and implementation of scalable data pipelines and Lakehouse architectures as the Design Authority
• Solving the hardest technical challenges—optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks

• AI támogatói rendszer készítése IT security munkákhoz és penetrációs tesztekhez, hogy a rendszer alapvizsgálatokat tudjon végezni és a vizsgálatokból komplett jelentéseket készítsen on-prem
• Saját minták feltanítása az általunk használt adatbázisokból

• Designing, developing, and maintaining data ingestion and processing pipelines across different data platforms
• Developing and optimizing batch and streaming data pipelines using Python, SQL, and distributed processing technologies

• Designing, building, and operating enterprise-grade Agentic AI platforms
• Owning architecture and delivery while mentoring engineers and partnering closely with client and internal teams
• Helping organizations run secure AI environments at scale under strict regulatory and security requirements