6 дней назад
Forward Deployed AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed AI Engineer (AI Engineering/LLM): Embedding directly within client and internal project teams to assess AI adoption opportunities, implement AI tools and agentic solutions, and integrate them into software delivery workflows with an accent on AI SDLC, LLM APIs, evaluation, and production support. Focus on designing pragmatic AI rollouts, enabling engineering and QA teams, measuring adoption, and building reusable playbooks and accelerators.
Location: Remote within 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 major retail, manufacturing, finance, and banking clients.
What you will do
- Assess client and internal project contexts to identify AI practices, tools, and agentic solutions that can create measurable value.
- Translate business and engineering needs into AI adoption opportunities and drive them through implementation and operationalization.
- Integrate AI practices into software 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, share lessons with the AI R&D function, and create reusable rollout playbooks, patterns, documentation, and guidance.
Requirements
- Strong software engineering and software delivery lifecycle fundamentals, including architecture, APIs, testing, maintainability, and production software.
- Hands-on experience with AI-assisted software development, AI agents, agentic workflows, and LLM APIs or model integration.
- Experience with CI/CD, AI system evaluation and testing, software quality practices, production support, troubleshooting, observability, and monitoring.
- Ability to understand business and engineering requirements, interview stakeholders, challenge assumptions, and propose pragmatic solutions.
- Strong communication skills across technical and non-technical audiences, with high ownership, autonomy, and comfort operating in ambiguous contexts.
- Awareness of security, privacy, and responsible AI considerations.
Nice to have
- LLM-based application development and Retrieval-Augmented Generation (RAG).
- Tool or function calling and protocols such as MCP.
- API design and integration, data pipelines, and data management.
- Containers, cloud-native development, and AI-enabled development workflows.
- Experience with Python, JavaScript/TypeScript, Java, .NET, or similar languages.
Culture & Benefits
- Inclusive, respectful, and merit-based workplace focused on diversity, skills, and performance.
- Medical benefits, gym support, personalised fitness options, team events, and a Healthy Habits Club.
- Flexible work-life arrangements designed around individual needs.
- Programs supporting physical, emotional, and social wellbeing.
- Hybrid community activities that support connection through shared work and interests.
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