Python állás, munka

Developing and executing a comprehensive vulnerability management program, encompassing regular scanning, penetration testing coordination, risk assessment, prioritization, and remediation tracking across all environments...

• Komplex LLM-, RAG- és agentikus AI-megoldások célarchitektúrájának megtervezése, szakmai irányítása és produkciós bevezetése.
• Coding agent skillek, MCP-szerverek, agent harness és runtime komponensek, routing-, memory-, tool- és evaluációs megoldások kialakítása.

• Komplex pilótanélküli rendszerek fejlesztése, konfigurálása, továbbfejlesztése és rendszerintegrációja
• Elektronikai, híradástechnikai modulok integrálása, tesztprotokollok előkészítése és dokumentálása
• Részvétel szenzorfúziós, autonóm navigációs és vezérlési algoritmusok fejlesztésében, tesztelésében

• Act as the escalation point and lead investigator for high-impact data exceptions, breaks, and reconciliations.
• Systematically trace end-to-end data lineage across multi-hop data pipelines (ingestion, staging, transformation, reporting layers) to isolate defect origins.

• Using formal verification algorithms to formally prove the correctness of complicated logic problems
• Identifying key behaviors for verification to write clear testplans for complex designs
• Implementing testplans using innovative formal techniques
• Driving tools to realize their best performance

• Deploying and scaling EcliptOS platform in real-world environments and ensuring it works at scale
• Owning the EcliptOS platform delivery lifecycle, bridging product engineering and client environments

• Üzleti probléma és megoldás teljes körű megértése, BRS véleményezése, jóváhagyása
• IT megoldás magas- és mélyszintű tervezése (funkcionális és architektúrális)
• Rendszer szintű SRS dokumentációk készítése, véleményezése – különös figyelemmel az interfészekre (adatfolyamok, adatmapping)

• Design, maintain, and evolve robust, scalable data architectures aligned with business and digital transformation objectives
• Build and optimize high‑performance data models for analytics
• Act as a strategic partner to business and engineering teams to shape data solutions end‑to‑end

• Designing and building agentic systems that plan, call tools and automate real business workflows
• Designing and building multi-agent (agent-to-agent) solutions in which agents hand work to each other, review it and escalate to a human when needed

• Designing, developing, and deploying robust and scalable IAM services, including authentication, authorization, user provisioning, and directory services
• Leading technical discussions, conducting architectural reviews, and providing mentorship to junior and mid-level engineers on the team

• Producing high quality code for the full technological stack, from database to UI and everything in between
• Assisting with troubleshooting basic issues and improving application performance by responding to specific problems and fixing defects

• Joining experienced engineering teams and contributing to existing projects while exploring and prototyping ideas for the future
• Gaining hands-on experience across the software development lifecycle with support from a mentor and the wider team

• Leading architecture design
• Driving technology decisions
• Co-creating innovative products
• Mentoring clients to adopt Agile practices and engineering excellence
• Leading project workstreams
• Driving architectural decisions
• Building scalable solutions using Agile methodologies

• 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

• Writing reusable, testable, and efficient code, mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely

• Assisting in integrating data from various sources (e.g. APIs, databases, files) into centralized data platforms
• Ensuring the quality and availability of data across data pipelines and storage systems
• Supporting the implementation of data models and data warehouse solutions

• Designing and building artificial intelligence and machine learning solutions for enterprise clients
• Operationalizing artificial intelligence and machine learning solutions, combining custom models with cloud and third-party AI services to deliver production-ready outcomes

• Design, build and deploy AI agents and multi-agent pipelines for B2B clients across sales, support, and operations
• Architect integrations between LLM layers, voice AI (VoIP/SIP), CRMs, and business workflows

• Contributing to System IP microarchitecture specification and design
• Contributing in SystemVerilog, C and C++ to verification, modelling and debug to achieve required quality levels (SystemVerilog/UVM, C, C++, scripting)

• Translating business requirements from internal teams and clients into clearly defined KPIs, metrics and visualizations
• Building and maintaining semantic and analytical data models on top of the data warehouse
• Writing and optimizing SQL queries, views and calculated measures for reporting use cases