Hands-On LLM & Agent AI Engineer

Accenture PLC; Herentals; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Accenture PLC seeks a hands-on AI Engineer to design and build AI system components across ML, generative AI, and agentic systems for enterprise clients. Translate architecture specs into production-ready software, wire agents, tools and memory components while ensuring security, observability, and governance in scalable pipelines.

You will collaborate with data engineers, ML engineers and developers, contribute to model serving and retrieval augmented generation, and continuously learn new

Qualifications

• Experience designing and coding advanced AI solutions using agentic, generative and classical AI/ML.
• Experience in the Agentic, LLM and Generative AI space.
• Experience architecting and operationalizing LLM-driven application architecture patterns.
• Experience in coding and engineering, machine learning, deep learning and NLP solutions.
• Proficiency in Python programming.

Responsabilités

• Design, build, and configure agents — prompts, tools and skills — in multi-agent workflows.
• Implement agent orchestration logic for task handoffs, communication and error recovery.
• Build evaluation harnesses and test suites for accuracy, relevance and faithfulness.
• Integrate foundation models into applications and select model invocation patterns.
• Build and run model fine-tuning pipelines and transformer-based architectures.
• Develop ingestion, embedding generation, vector DBs and retrieval components.

Connaissances

Python

Cloud AI

Agentic AI

LLM Architectures

NLP ML DL

Formation

Bachelor's degree in Computer Science/Engineering/Data Science

Description du poste

Accenture PLC seeks a hands-on AI Engineer to design and build AI system components across ML, generative AI, and agentic systems for enterprise clients. Translate architecture specs into production-ready software, wire agents, tools and memory components while ensuring security, observability, and governance in scalable pipelines.

You will collaborate with data engineers, ML engineers and developers, contribute to model serving and retrieval augmented generation, and continuously learn new