Senior Applied AI Engineer
Build the intelligence that makes compliance effortless. Design and deploy AI/ML models that power our compliance automation engine, from LLM integration to document understanding and intelligent risk assessment.
About Whisperly
Whisperly is the AI-powered GRC platform built for privacy, risk, and AI governance. We turn complex regulatory requirements, GDPR, EU AI Act, ISO 42001 and beyond, into clear, automated workflows, so compliance teams can move confidently without drowning in manual work.
We are a lean, high-conviction team based in Tallinn, shipping fast and solving hard problems at the intersection of AI and regulation. Every engineer here owns a meaningful slice of the platform and has direct influence over its direction.
What You'll Do
As Senior Applied AI Engineer, you will lead the design and deployment of the AI systems at the core of Whisperly compliance automation engine. You will own the full journey, from research and experimentation through to production systems that real customers rely on every day.
- Design, train, and deploy AI/ML models that power our compliance automation engine end-to-end
- Integrate and fine-tune large language models for regulatory document analysis and interpretation
- Build document understanding pipelines that extract structure, meaning, and risk signals from complex legal and compliance materials
- Develop intelligent risk assessment systems that surface the right insights at the right time for compliance teams
- Define evaluation frameworks, quality benchmarks, and monitoring pipelines for model outputs in high-stakes contexts
- Collaborate closely with product and engineering to ship AI capabilities as polished, customer-facing features
- Track applied AI research and rapidly translate relevant advances into product improvements
What We're Looking For
Required
- 5+ years in applied ML or AI engineering in production environments
- Hands-on LLM integration experience (OpenAI, Anthropic, or open-source)
- Strong Python and ML engineering fundamentals
- Experience with NLP, document understanding, or information extraction
- Ability to own the full cycle: research, prototype, production
- Comfortable in small, fast-moving startup environments
Nice to Have
- Background in fintech, regtech, or compliance tooling
- RAG architectures and vector database experience
- LLM fine-tuning and RLHF experience
- Model evaluation, red-teaming, and safety testing
- Contributions to ML research or open-source projects
Tools & Technologies
We do not require expertise in every tool, but this is what you will be working with: