Senior Machine Learning Engineer
Location: Serbia/India/North Macedonia (Hybrid/Remote)
We’re looking for a skilled Senior Machine Learning Engineer to help us transform the Insurtech space. You’ll build intelligent agents and models that read, reason, and act.
Insurance ops are broken. Underwriters drown in PDFs. Risk clearance is chaos. Emails go in circles. We’ve lived it – and we’re fixing it. Bound AI is building agentic AI workflows that go beyond chat. We orchestrate intelligent agents to handle policy operations end-to-end:
• Risk clearance.
• SOV ingestion.
• Loss run summarization.
• Policy issuance.
• Risk triage.
No hallucinations. No handwaving. Just real-world AI that executes – in production, at scale.
Join us to help shape the future of insurance through advanced technology!
What You’ll Be Doing
- Develop foundation-model-based pipelines to read and understand insurance documents.
- Develop GenAI agents that handle real-time decision-making and workflow orchestration, and modular, composable agent architectures that interact with humans, APIs, and other agents.
- Work on auto-adaptive workflows that optimize around data quality, context, and risk signals.
What We’re Looking For
- Deep experience in GenAI, LLM fine-tuning, and multi-agent orchestration (LangChain, DSPy, or similar).
- 5+ years of proven experience in the field
- Strong ML/AI engineering background in both foundational modeling (NLP, transformers, RAG) and traditional ML.
- Solid Python engineering chops – you write production-ready code, not just notebooks.
- A startup mindset – curiosity, speed, and obsession with shipping things that matter.
- Bonus – Experience with insurance or document intelligence (SOVs, Loss Runs, ACORDs).
Who We Are
- Bound AI was born inside OIP InsurTech – a 1000+ person global company that powers operations for MGAs and brokers across the U.S.
- We’re backed, battle-tested, and already deployed in the wild. This isn’t “build it and they might come.” The market is here – and we’re scaling fast.