AI Engineer at Apera Asset Management LLP
Dublin, Dublin County, Ireland -
Full Time


Start Date

Immediate

Expiry Date

22 Dec, 26

Salary

1500000.0

Posted On

23 Sep, 26

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Infrastructure & Civil Construction

Description

About the job


We're recruiting an Applied AI Engineer for a seed-stage start-up building AI for autonomous industrial operations.

The company is backed by some of the world's top VCs and the founder has 10+ years in industrial AI. They're opening a Munich office and need founding engineers to integrate the software on the ground with customers. You'd be one of the first hires in Munich, so there's real scope for growth and progression as the team builds out.

As an Applied AI Engineer you'll own the customer problem end to end: understand it, shape the solution, and integrate with their data and systems. There'll be regular travel and you'll spend a good amount of time on site.

We're looking for an early-career engineer (0–5 years) who has shipped AI or ML into production and is comfortable in front of customers. Strong Python and ML systems experience is essential.

You'd be joining a small team with no layers and direct access to the founders - a rare chance to get in early at a company solving real, physical problems.

Generous package on offer - base, bonus and equity.

Based in Munich (on-site/hybrid, with regular travel). You'll need to be eligible to work in Germany - EU citizenship or Blue Card holders only, please.

If this sounds like something you'd be interested in, please get in touch for more info.

How To Apply:

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Responsibilities

·        Generative AI and LLM Engineering: LLM Application Development, Retrieval Augmented Generation (RAG), Prompt Engineering, LangChain, LangGraph, AI Agents, Multi Agent Systems, Model Context Protocol (MCP), Hugging Face Transformers, OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama, Groq

·        Vector Search and Data Engineering: ChromaDB, FAISS, Pinecone, Sentence Transformers, Semantic Search, Python, SQL, PostgreSQL, Pydantic

·        Machine Learning and Deployment: Deep Learning, TensorFlow, PyTorch, Natural Language Processing, Computer Vision, FastAPI, SQLAlchemy, Alembic, Docker, Docker Compose, MLOps, Microsoft Azure, CI/CD

·        Analytics, Tools and Methods: Tableau, Power BI (DAX), Git, GitHub, JWT Authentication, REST API Design, Agile Delivery


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