2 months ago
Responsibilities
- Design and implement retrieval-augmented generation systems for contextual AI responses.
- Build evaluation platforms and frameworks to measure AI system performance and quality.
- Develop interaction patterns and user experiences for large language model integrations.
- Build data collection, labeling, and continuous-improvement systems for AI models.
- Collaborate across teams to identify opportunities for meaningful AI-powered user value.
- Build reusable AI infrastructure and platforms for rapid AI feature development.
- Implement AI safety measures, monitoring, and quality assurance systems.
- Present AI capabilities and demos to internal teams and gather feedback.
- Stay current with AI/ML research and incorporate relevant advances into products.
Requirements
- 5+ years of software engineering experience with significant focus on building AI/ML systems.
- Strong expertise in large language models, RAG systems, and modern AI frameworks.
- Experience with MLOps, model deployment, and AI system monitoring.
- Proven experience building production AI applications from experimentation through deployment.
- Deep understanding of prompt engineering, fine-tuning, and AI evaluation methodologies.
- Proficiency analyzing AI system performance and implementing improvements.
- Experience with vector databases, embedding systems, and semantic search.
- Knowledge of AI safety practices and responsible AI development.
- Strong communication skills for explaining AI concepts to technical and non-technical stakeholders.
Benefits
- Competitive base salary and bonus structure, with early-stage equity.
- Health, dental, and vision coverage, generous paid time off, and additional benefits.
- Career advancement paths, dedicated mentorship, and professional development opportunities.
- Collaborative, innovative, and fast-paced work environment.
- Equal opportunity employer offering accommodations throughout the application process.
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About Reevo
One unified platform for your entire GTM team, from first touch to closed won. Finally, everything just works together.