GRADION
GRADION
GRADION este o firmă de consultanță în domeniul digital și al tehnologiilor avansate, care colaborează cu companii pentru definirea și implementarea strategiilor tehnologice. Activitatea sa acoperă strategia și implementarea inteligenței artificiale, dezvoltarea AI/ML, consultanța tehnologică, ingineria cloud și DevOps, securitatea cibernetică și auditurile tehnice. În cadrul NFQ Group, GRADION dezvoltă și operează platforme și pune la dispoziția clienților echipe de ingineri din comerțul electronic, fintech, turism, producție și startup-uri. Echipele sale globale activează în Asia, Europa și regiunea Orientului Mijlociu și a Africii de Nord, oferind acoperire permanentă și lucrând conform proceselor ISO 27001. Compania oferă și programe de formare în leadership și pregătire pentru inteligența artificială.

Senior Software Engineer, AI Adoption

Principal-level engineer guiding AI adoption across Gradion’s digital platforms and Deep Tech solutions. Combines hands-on LLM development with architecture, reliability, and technical leadership, without direct reports.

Descriere

  • Set architecture and design direction for the most complex systems.
  • Build, prototype, and debug solutions alongside engineering teams.
  • Review high-risk implementations and strengthen engineering standards.
  • Work with Tech Leads to improve scalability, performance, and reliability, and address technical debt.
  • Evaluate and test new technologies, then document decisions.
  • Turn ambiguous client and stakeholder problems into clear technical direction.
  • Develop and work directly with LLMs, AI APIs, agents, RAG, and evaluation methods.
  • Find valuable AI use cases, implement them, and share lessons for reuse.
  • Guide architecture, system design, scalability, performance, reliability, technical debt, and technology choices across teams and projects.
  • Mentor engineers and shape technical decisions without direct reports.

Cerințe

  • At least 8 years of experience building and operating production software.
  • Strong system design and architecture skills spanning scalability, performance, distributed systems, and reliability.
  • Deep expertise in at least one programming language and working familiarity with several others.
  • Ability to quickly understand an unfamiliar codebase.
  • Experience with technologies such as Python, Go, Node.js, Java, AWS or GCP, and Docker or Kubernetes; these are examples, not strict requirements.
  • Practical experience building LLM-based systems.
  • Experience with AI APIs and prompt and context design, plus at least one of agents, RAG, or evaluation.
  • Regular use of AI coding agents such as Claude Code or Codex for real work.
  • Evidence of setting technical direction across multiple teams or a large, long-running program.
  • Ability to mentor senior engineers and influence without formal authority.
  • Sound judgment about when not to build, when to reduce technical debt, and when to decline work.
  • Comfort working directly with clients and non-technical stakeholders.
  • Commitment to keeping up with developments in the field.
  • Bonus: experience operating AI systems at scale in production, including evaluation harnesses, guardrails, and cost and latency optimization.
  • Bonus: deep experience in data platforms, cybersecurity, robotics, or enterprise systems.
  • Bonus: experience building internal tools or platforms.
  • Bonus: open-source contributions, conference presentations, or technical writing.

Beneficii

  • Performance bonus of up to two months’ pay.
  • Performance reviews twice a year.
  • Premium healthcare coverage.
  • 15 days of annual leave.
  • Full salary during the probation period.
  • Hybrid work arrangement.
  • Participation in technology communities.
  • Opportunities to work on global projects.
  • Ongoing learning opportunities.
  • Attractive salary.
  • Benefits that reflect your impact.

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