4 дня назад
Senior Forward Deployed AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Forward Deployed AI Engineer (AI/LLM/Agentic Workflows): Driving the adoption of AI engineering practices, tools, and agentic solutions across client and internal software projects with an accent on LLM integration, AI-assisted development, and production delivery. Focus on assessing unfamiliar systems, integrating AI into SDLC workflows, enabling delivery teams, and measuring adoption through implementation and operationalization.
Location: Remote from Romania
Company
is a technology services company headquartered in Cluj-Napoca, with offices in Oradea and more than 1,200 IT professionals delivering software development and managed services for clients in retail, manufacturing, finance, and banking.
What you will do
- Assess project contexts and identify where AI practices, tools, and agentic solutions can create measurable value.
- Translate business and engineering needs into AI adoption initiatives and drive them through implementation and operationalization.
- Integrate AI practices into development, testing, QA, and operational workflows.
- Facilitate workshops, onboarding, and enablement sessions for engineers and project stakeholders.
- Implement or adapt reference solutions and accelerators, provide post-rollout support, and resolve technical or adoption issues.
- Measure adoption, document reusable rollout patterns, and share lessons learned with the AI R&D function.
Requirements
- 6+ years of experience delivering production software, with experience operating at Senior or Tech Lead level.
- Strong software engineering and SDLC fundamentals, including architecture, APIs, testing, maintainability, delivery practices, and production support.
- Hands-on experience with AI-assisted software development, AI agents, agentic workflows, LLM APIs, and model integration.
- Experience with CI/CD, AI system evaluation and testing, observability, monitoring, security, privacy, and responsible AI.
- Ability to understand unfamiliar systems, extract business and engineering requirements, challenge assumptions, and propose pragmatic solutions.
- Strong communication skills, autonomy, ownership, and comfort working across technical and non-technical stakeholders and changing contexts.
Nice to have
- LLM-based application development and Retrieval-Augmented Generation.
- Tool or function calling and protocols such as MCP.
- API design and integration, data pipelines, and data management.
- Containers, cloud-native development, and AI coding assistants.
- Experience with Python, JavaScript/TypeScript, Java, .NET, or similar languages.
Culture & Benefits
- Inclusive, merit-based workplace focused on diversity, respect, skills, and performance.
- Medical benefits, gym support, personalised fitness options, team events, and a Healthy Habits Club.
- Flexible approach to work-life integration within a hybrid community.
- Programs supporting emotional and social wellbeing.
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