AI Solutions Engineer: LLMs & Orchestration

Metyis; Amsterdam; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

Adaptfy seeks an AI engineer to design, implement, and scale AI solutions across the full lifecycle from prototyping to production. You will collaborate with global data teams to build robust context layers, knowledge graphs, and governance structures for enterprise AI use.

You will apply prompt engineering, memory strategies, and orchestration tools to maximize reliability and value, while staying abreast of new models and tools. Fluency in English and a results‑driven mindset are essential.

Qualifications

• 1–4 years of professional experience as a software engineer, data scientist, data engineer, or AI engineer.
• Strong programming skills in at least one modern language; Python is a plus.
• Hands-on experience building LLM-based systems including prompt engineering and orchestration frameworks.

Responsibilities

• Design, implement, and refine AI solutions across the full lifecycle from prototyping to production deployment.
• Collaborate with central and local data teams to define and maintain the organization’s context layer, knowledge graphs, and governance graphs.
• Apply prompt engineering, memory engineering, and harnessing to maximize model performance in production.
• Translate business requirements into AI workflows and identify opportunities for automation or augmentation.
• Stay up-to-date with the latest models, tools, and frameworks and bring innovations to the team.

Skills

LLM systems

Python

Git

Prompt engineering

LangChain

Knowledge graphs

RAG pipelines

Education

Bachelor's in CS or related field

Tools

LangChain

LlamaIndex

LangGraph

Job description

Adaptfy seeks an AI engineer to design, implement, and scale AI solutions across the full lifecycle from prototyping to production. You will collaborate with global data teams to build robust context layers, knowledge graphs, and governance structures for enterprise AI use.

You will apply prompt engineering, memory strategies, and orchestration tools to maximize reliability and value, while staying abreast of new models and tools. Fluency in English and a results‑driven mindset are essential.