6 дней назад
AI Large Language Model (LLM) Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Large Language Model (LLM) Engineer (AI): Building production AI system components across agentic, generative, and classical machine learning systems with an accent on LLM integration, RAG pipelines, model fine-tuning, and enterprise-grade controls. Focus on designing multi-agent workflows, implementing evaluation and guardrail systems, and engineering observability, security, governance, and scalability into AI applications.
Location: Brussels, Belgium
Company
is a global professional services company delivering technology, cloud, data, AI, and digital transformation solutions to organizations in more than 120 countries.
What you will do
- Design, build, configure, and integrate individual AI agents, including prompts, tools, skills, memory, and multi-agent workflows.
- Implement agent orchestration, task handoffs, communication, error recovery, context management, and model invocation patterns.
- Build evaluation harnesses, test suites, fine-tuning pipelines, ingestion and indexing pipelines, embeddings, vector database integrations, and end-to-end RAG components.
- Implement guardrails, content filtering, prompt-injection defenses, PII detection and redaction, access controls, versioning, audit logging, and lineage tracking.
- Instrument AI components with logging and tracing, and contribute to monitoring, alerting, and cost tracking for production systems.
- Collaborate with data engineers, ML engineers, application developers, architects, and stakeholders while maintaining technical documentation and integration contracts.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Data Science, or a related engineering discipline.
- Experience through work or coursework designing, coding, and building advanced agentic, generative, and classical AI/ML solutions using at least one cloud vendor.
- Experience through work or coursework in agentic AI, LLM, and generative AI.
- Experience through work or coursework architecting and operationalizing LLM-driven application architecture patterns.
- Experience coding and engineering machine learning, deep learning, and NLP solutions and applications.
- Experience coding with Python.
Culture & Benefits
- Hands-on engineering work across rapidly evolving AI technologies, open-source libraries, frameworks, and third-party platform services.
- Work within cross-functional client delivery teams under the direction of lead and principal architects.
- Focus on enterprise-grade security, observability, governance, performance, scalability, testing, and auditability.
- Opportunity to develop software engineering expertise applied to advanced AI systems and progress toward a lead engineer or architect role.
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