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• Conducting in-depth assessments with clients to understand their business and technical needs
• Analyzing client requirements and proposing feasible technical solutions based on them
• Identifying client challenges and goals, recommending effective solutions, and building client trust

• 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

As a part of our team, you will research novel methods for adapting generative AI systems to specialized domains by integrating structured symbolic knowledge, without relying on extensive model retraining....

• Provisioning and managing Azure/AWS resources as part of real client engagements
• Building IaC and CI/CD pipelines to automate deployments
• Ensuring reliability through monitoring, runbooks, and incident handling
• Applying security patterns across projects

  SENIOR TEST AUTOMATION ENGINEER We are looking for an experienced Senior Test Automation Engineer to join our client in Hinwil, Zurich, for an exciting 8-month contract, bringing strong expertise in , Robot Framework, and Hardware-in-the- (HIL) testing. SENIOR TEST AUTOMATION ENGINEER...

Adatfolyamok (pipelines) tervezése és fejlesztése: Robusztus, skálázható és biztonságos batch (kötegelt) és real-time (valós idejű) ETL/ELT folyamatok fejlesztése...

• Architecting cloud-native AI applications, integrating LLMs, vector search, and real-time data
• Designing end-to-end web solutions from frontend to backend
• Implementing RAG pipelines, model serving, and AI agents in production
• Leading cross-functional teams (Full-stack, AI, Data)

• 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, differentiating between a working query and an efficient one

• Leading the design, development, testing, deployment, and maintenance of scalable and robust software solutions
• Collaborating with product owners, business analysts, and other stakeholders to understand requirements and translate them into technical specifications

Owning and evolving Cloud & Infrastructure architecture, defining target designs, standards, and long-term roadmaps that support a secure, resilient, and scalable hybrid cloud environment...

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards

• Advise development teams on secure software design, architecture and coding practices.
• Review security-critical code, components and APIs to identify vulnerabilities and recommend practical solutions.

• Building and growing innovative insurance applications used daily by thousands of users.
• Developing new features collaboratively with product managers and quality assurance in an agile environment.

• Identify and eliminate hot-path bottlenecks: profile p99.9 tail latency on Linux using perf and flame graphs, and translate findings into concrete code changes.
• Design and implement lock-free concurrency models (SPSC/MPMC ring buffers, atomic memory ordering, cache-line alignment).

Új projektek DevOps-, infrastruktúra- és platformoldali támogatásának végzése a fejlesztési és üzemeltetési követelmények egyeztetésétől az éles bevezetésig...

• Evaluate, configure, and maintain the AI development tool stack (GitHub Copilot, custom agents, local LLMs).
• Standardise how AI agents interact and integrate with our internal tools, services, and development workflows with MCP.

Overseeing the implementation, monitoring, evaluation, and maintenance of application and IT security systems, policies, and procedures to safeguard the confidentiality, integrity, and availability of the organization's information, systems, and processes...

• Aktív részvétel a tervezésben, a specifikációk finomításában
• Fejlesztési feladatok megvalósítása
• Code review
• Automatikus tesztelés
• CI/CD folyamatok karbantartása (GitLab)
• Monitorozás és riasztások kezelése
• Az alkalmazás karbantartása Kubernetes környezetben
• Junior fejlesztők mentorálása

• 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

Manuális funkcionális, regressziós és exploratív teszteket hajtasz végre a heti szoftverbuild-eken a minőség és a kiadhatóság biztosítása érdekében....