About Whisperly AI
Whisperly AI is building the foundational AI governance and compliance layer that organizations will rely on for decades to come. Our mission is to empower enterprises to innovate safely by ensuring AI systems are transparent, well-governed, and aligned with regulatory and ethical standards.
We are a multidisciplinary team of:
AI & ML developers
Compliance, legal, and privacy experts
AI governance consultants
Digital security leaders.
If you’re excited by the intersection of cutting-edge AI and real-world governance challenges—and want to shape a safer future for AI—this is the place for you.
Role Overview
Whisperly AI is seeking a Senior Applied AI Engineer in the US to help design, build, and deploy intelligent systems that power our governance and compliance platform. In this role, you will work on everything from model development and evaluation to scalable AI pipelines and LLM-powered applications. You’ll collaborate closely with experts across engineering, security, compliance, and product to translate complex governance requirements into robust AI capabilities.
This is a hands-on, high-impact role with significant ownership and the opportunity to influence technical direction across the organization.
What You'll Do
Develop, fine-tune, and evaluate LLMs and other ML models for classification, summarization, risk detection, and automated governance workflows
Build ML pipelines, retrieval systems, and model serving infrastructure optimized for reliability, accuracy, and performance
Research, prototype, and productionize new techniques in NLP, generative AI, and AI-assisted compliance automation
Collaborate with compliance, legal, and governance specialists to translate domain requirements into technical specifications and AI-driven capabilities
Implement robust observability, monitoring, and testing practices for AI components, ensuring high-quality and explainable outcomes
Contribute to the design of scalable, secure architecture for AI systems across the Whisperly platform
Drive best practices in applied ML engineering, including data management, evaluation frameworks, experimentation workflows, and model lifecycle management
Mentor junior engineers and help shape a world-class AI engineering culture.
What We're Looking For
Required Qualifications:
- 5+ years of experience in applied machine learning, NLP, or AI engineering (or equivalent)
- Deep experience working with LLMs, transformer-based models, and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX)
- Strong background in building production-scale ML systems, including model serving, evaluation, and deployment
- Hands-on experience with RAG architectures, vector databases, and prompt engineering
- Proficiency in Python and experience with modern MLOps tools (e.g., Weights & Biases, MLflow, Ray, Kubernetes)
- Ability to translate complex requirements into scalable, maintainable solutions
- Strong communication skills and ability to work cross-functionally with experts from non-technical domains.
Preferred Qualifications:
Experience with AI governance, model risk management, or compliance-oriented ML applications
Understanding of privacy-preserving ML techniques (differential privacy, redaction, anonymization)
Experience in highly regulated industries (finance, healthcare, enterprise SaaS)
Prior involvement in building platforms or developer tools
Experience architecting secure ML systems or contributing to AI safety and interpretability efforts.
What We Offer
Competitive compensation and equity package
Fully remote role with flexible working hours (US-based)
Opportunity to be an early contributor to a rapidly growing company defining an emerging category
Work alongside experts across AI engineering, security, compliance, and governance
Supportive, mission-driven culture focused on building safe and trustworthy AI.
How to Apply
If you’re passionate about building the future of AI governance and want to work on high-impact problems alongside a world-class team, we’d love to hear from you.
Send your CV at: career@whisperly.ai
