Enjins
Climate Tech
AIEngineer
“AI Engineer at Enjins. Skills: AI/ML, LLMs, Production deployment, Cloud platforms. Design and deploy AI/ML systems. Own feature or deployment pipeline”
What You'll Achieve.
Build robust, production-ready solutions; Deliver long-term, meaningful value; Deliver measurable positive impact; Take full ownership of technical lifecycle; Ensure client systems are scalable and reliable; Bridge gap between data science and business value; Accelerate client's velocity
Industry & Context.
Resolve integration challenges
Work from office in Utrecht, Office not fully accessible for individuals with physical disabilities
What They're Looking For.
Must Have
Fluent in English, Eligible to work in the Netherlands, Bachelor's or Master's Degree in Computer Science, Software Engineering, or a relevant technical or quantitative field, Solid experience with Python, Solid experience with SQL, Experience with at least one major cloud platform (AWS, Azure, or GCP), Ability to bring AI/ML models or LLMs into production, Exposure to or curiosity about LLM-based and Agentic architectures
Nice to Have
Familiarity with other languages and frameworks, Curiosity about LLM-based and Agentic architectures (e.g. RAG, tool-use, multi-agent systems), Familiarity with containerisation (Docker, Kubernetes), Familiarity with ETL/ELT tools, Familiarity with the basics of LLMOps/MLOps
What You'll Do.
Design and deploy AI/ML systems
Own feature or deployment pipeline
Spearhead MLOps/LLMOps adoption
Design and implement data pipelines
Translate technical findings
Build predictive models
Resolve integration challenges
How You'll Work.
Team & Collaboration
Collaborate with Data Scientists; Collaborate with Software Engineers; Engage with clients; Engage with executive-level stakeholders; Work alongside experienced engineers; Receive feedback moments
Communication Scope
Communicate clearly with non-technical people; Translate complex concepts
Process & Methodology
Project management skills
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