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Kirey
Kirey
1001 – 5000 Darbinieki
KonsultācijasRažošanaVeselības aprūpe
Kirey ir Eiropas tehnoloģiju un digitālo konsultāciju grupa, kas atbalsta finanšu, ražošanas, valsts pārvaldes, enerģētikas un veselības aprūpes organizācijas. Uzņēmums, kura saknes meklējamas Itālijā, apvieno starptautisku komandu ar vairāk nekā 1 500 darbiniekiem un palīdz klientiem modernizēt darbību, izmantojot datu un mākslīgā intelekta risinājumus, mākoņpakalpojumus un infrastruktūru, programmatūras izstrādi, kiberdrošību un automatizāciju. Tā darbība ietver mākslīgo intelektu un mašīnmācīšanos, ģeneratīvo mākslīgo intelektu, datu platformas un pārvaldību, migrāciju uz mākoni, platformu inženieriju, drošības uzraudzību, krāpšanas novēršanas risinājumus, DevOps un lietojumprogrammu izstrādi. Kirey personāla atlase aptver tehniskās un konsultāciju kompetences, kas nepieciešamas digitālās transformācijas un datu virzītas inovācijas īstenošanai šajās nozarēs.
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Vakances uzņēmumā

Senior AI Software Engineering Lead, Kirey Hybrid Italy

Lead the adoption of Generative AI across Kirey’s software teams. Improve enterprise software productivity, quality, delivery speed, and legacy application modernization.

ITItālija
30 000 € – 35 000 € / gads
HibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: itāļuFull-stack inženierisProgrammatūras inženieris
Python

Apraksts

  • Design, introduce, and promote AI tools that support software development teams.
  • Identify opportunities to improve Software Engineering processes through Generative AI technologies.
  • Help analyze and understand legacy applications by reconstructing functional and business knowledge from existing code and documentation, with particular attention to insurance processes and application dependencies.
  • Support developers in using coding assistants, AI agents, and advanced productivity tools.
  • Establish standards, guidelines, and best practices for effective AI use throughout the software development lifecycle.
  • Build reusable accelerators, frameworks, and automations to improve team efficiency.
  • Define KPIs and metrics to measure the impact of introduced solutions on quality, productivity, and time to market.
  • Work with technical teams and stakeholders to identify high-value use cases.
  • Expand AI capabilities through coaching, hands-on support, and training.
  • Identify opportunities to modernize applications by applying artificial intelligence.

Prasības

  • Significant experience in software development and enterprise application lifecycles.
  • Experience using AI for code analysis, reverse engineering, impact analysis, and automated documentation.
  • Knowledge of core Software Engineering practices.
  • Experience applying AI tools to software development.
  • Ability to understand application architectures and complex delivery processes.
  • Experience with version control systems, CI/CD, and release processes.
  • A pragmatic, results-focused approach.
  • Strong collaboration skills with technical teams and stakeholders.
  • Nice to have: Experience with Large Language Models (LLMs).
  • Nice to have: Knowledge of AI agents, function calling, and agentic frameworks.
  • Nice to have: Knowledge of Python.
  • Nice to have: Experience with GitHub Copilot, Copilot Studio, Claude, Cursor, or similar tools.
  • Nice to have: Experience in insurance, banking, or highly regulated environments.
  • Nice to have: Familiarity with legacy systems and application modernization initiatives.
  • Nice to have: Knowledge of COBOL/Mainframe applications.

Priekšrocības

  • Work on complex, innovative projects.
  • Dynamic, merit-based work environment.
  • Agile team collaboration.
  • Professional growth plan.
  • Training courses and certifications.
  • Welfare and benefits program.
  • Smart working or genuine full remote options with flexible hours.

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