Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Крутая вакансия
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Чётко описанная junior-роль даёт практический опыт внедрения GenAI, поддержку старших коллег и понятный путь роста, хотя консалтинг предполагает частую смену проектов.
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Смена проектовПередовые технологииПоддержка на стартеУсловия для развитияСфера GenAIДва обязательных языка
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Junior Forward Deployed Engineer (GenAI): Building and deploying GenAI applications including agents, RAG pipelines, copilots, workflow automation, and chat interfaces for client operations with an accent on production delivery, system integration, and user adoption. Focus on connecting AI solutions to APIs and databases, applying GDPR and EU AI Act requirements, benchmarking foundation models, and measuring real-world performance.
Location: Hybrid working from the Brussels or Antwerp office, Belgium
Company
hirify.global is a global management consulting group combining strategy, data science, creativity, and technology to support client transformation across multiple industries.
What you will do
Build LLM-based solutions such as RAG pipelines, tool-using agents, workflow automation, and chat interfaces under senior guidance.
Connect AI solutions to APIs, databases, and business systems using established patterns and templates.
Support data protection and AI regulation requirements, including GDPR, the EU AI Act, and model licences.
Support user adoption through documentation, training sessions, feedback collection, and clear updates for technical and business audiences.
Measure solution performance in use and suggest improvements to senior colleagues.
Spend time on client sites to understand operational challenges and identify practical AI applications.
Requirements
Master’s degree in computer science, AI, or a related technical field; strong projects alongside the degree are valued.
0–2 years of experience from professional work, internships, research, or academic settings; recent graduates with solid LLM projects are encouraged to apply.
Experience building with LLMs, including prompting, RAG, basic agent workflows, and checking model outputs with simple evaluation sets or tests.
Clean, readable Python code and willingness to learn languages required by client stacks.
Ability to call APIs and connect different systems.
Ability to understand client value, prioritise tasks with guidance, and explain technical ideas to non-technical people.
English and French required; Dutch is ideal. German is an advantage.
Nice to have
Experience with LangChain, LlamaIndex, OpenAI SDK, Anthropic SDK, or similar applied AI frameworks and SDKs.
Experience deploying projects to AWS, Azure, or GCP.
Familiarity with MLOps or LLMOps, including prompt version control, evaluation pipelines, or monitoring.
Working understanding of vector databases and embeddings.
Culture & Benefits
Work goes live in weeks with senior support and exposure to real users and client teams.
Projects span multiple industries and architectures within a growing AI practice.
Hybrid work from the Brussels or Antwerp office with flexibility for focused work.
Mobility budget or company car, hospital insurance, and performance-related bonus.
Learning budget, funded Anthropic, AWS, and Databricks certifications, paid conference time, and a named mentor.
Clear progression toward lead engineer or client-facing architect; work permit sponsorship is not available.
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