[Hiring] Staff AI Engineer @Clarity AI

Role Description

We are looking for a Staff AI Engineer who thrives at the intersection of rapid experimentation and agile product development. In this role, you will be the bridge between the latest AI developments and tangible product impact. You aren't just following a roadmap; you are helping define it by proving what is possible with the latest frontier models and architectures. You will be responsible for the "quality loop": moving from a promising proof-of-concept to a highly reliable, optimized, and validated product.

What You’ll Be Doing

• Product-Centric Development: Designing and executing experiments to improve GenAI capabilities, optimizing for user value, reliability, and cost-effectiveness.
• Evaluation Systems: Building the "Golden Path" for quality by designing and implementing robust, multi-dimensional evaluation suites to ensure features are production-ready and hallucination-resistant.
• Advanced RAG & Reasoning Optimization: Implementing and tuning advanced retrieval strategies and optimizing complex reasoning loops to enhance agent performance.
• Production-Grade Model Tuning: Leading the strategy for supervised fine-tuning and Parameter-Efficient Fine-Tuning workflows to adapt models to specific product domains.
• Performance & Cost Engineering: Balancing the "Quality-Cost-Latency" triangle to maintain high-quality outputs while optimizing token usage and reducing inference latency.

What You’ll Need

• Applied MLE Background: Proven track record of shipping Machine Learning functionality in a product-focused environment.
• Bleeding-Edge Awareness: Familiarity with the trade-offs between frontier models and knowledge of how to swap or hybridize them for maximum impact.
• Experimental & Analytical Mindset: Ability to design benchmarks, create a "Gold Dataset," and use data to prove improvements.
• Practical LLM Expertise: Deep, hands-on experience with LLM orchestration, vector databases, and evaluation frameworks.
• Technical Stack Mastery: Expert-level Python and experience writing production-grade code.
• Product Mindset: Ability to identify and iterate on model behaviors that impact user experience.
• Experience: 5+ years in ML or Software Engineering roles, with at least 2+ years building and scaling GenAI/LLM-powered features.
• Self-starter with high energy and stamina.
• Decisive and action-oriented, able to make rapid decisions.
• Highly motivated and passionate about sustainability and impact.
• Excellent oral and written English communication skills (minimum C1 level).

Nice To Have

• Experience in a start-up.
• Cloud AI Ecosystem: Familiarity with managed GenAI platforms and services such as OpenAI, Anthropic, AWS Bedrock, or GCP Vertex AI.
• Active Builder Credentials: A portfolio or GitHub showcasing side projects that experiment with the latest AI paradigms.

What We Offer

• Competitive compensation, including base salary and equity plans.
• Flexibility in working schedule and location.
• Generous paid time off schemes, including vacation and sabbatical.
• Meaningful benefits, including private healthcare coverage and wellness programs.
• Professional development with an annual training budget for courses and certifications.
• Collaborative environment with regular team activities and employee-led resource groups.