milia.io is looking for a Machine-Learning engineer to build agentic workflows and document intelligence that automate tax processes, using LLM integration and RAG-based solutions.
Responsibilities
- ▹Build an autonomous, multi-step agentic workflow engine for tax processes (documents, deadlines, client communication)
- ▹Document intelligence: extraction, classification and analysis of tax-relevant documents (P&L statements, receipts, tax platform exports)
- ▹RAG, context and prompt engineering
- ▹Tax platform API integration with semantic processing of financial data
- ▹Build real-time financial analysis features (P&L analysis, liquidity planning, KPI dashboards)
Requirements
- ▹3+ years of TypeScript experience
- ▹Proven production-level experience with LLM integration
- ▹In-depth understanding of retrieval-augmented generation (RAG) and context engineering
- ▹Experience with AI and agentic frameworks (AI SDK or similar)
- ▹Strong backend skills: database design, micro-service architectures, infrastructure
- ▹Comfortable working in early-stage product environments
Nice to have
- ▹Familiarity with tax or accounting context (chart of accounts, P&L structure)
- ▹Experience with document parsing (PDFs, OCR, table extraction)
- ▹Experience in model training
Soft skills
Comfortable operating independently in an early-stage product environmentDirect communicator
What we offer
- ▹Small team, direct communication, no long approval chains
- ▹Close collaboration with product and the founding team, decisions with immediate product impact
- ▹Remote-first, with occasional in-person sessions
- ▹Flexible time zone (CET +/- 1h)
About the company
milia.io is a small, early-stage startup with direct communication and fast decision-making with immediate product impact; engineers work closely with the product team and founders.
Languages: Angol: szükséges (a német előny)
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