Architect and evolve the cognitive engine of the AI platform
Lead fine-tuning of foundational models and design model orchestration logic
Build and iterate on evaluation frameworks for multi-turn interactions
Required Qualifications
5+ years in AI/ML engineering, with at least 2 years in fine-tuning large language models
Experience in applied AI within early-stage startups or product teams
Proficiency with model training workflows and scalable data pipelines
Practical experience with low-latency inference environments and model optimization strategies
Comfortable in Python and modern ML tooling; experienced in deploying models to production
Average salary estimate
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