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Senior AI Engineer
LottieFiles
Remote · worldwide, UTC+4 acceptedSalary not disclosedfull-timeVerified recentlyHimalayas
This role spans two connected areas: improving the production generation system used today, and developing specialized models that can generate the Motion DSL directly with higher quality, lower latency, and better cost efficiency. You will work at the intersection of LLM systems, post-training, code generation, compilers, evaluation, data engineering, and motion design.
Responsibilities
- Build and improve production generative systems
- Design and ship improvements across prompt interpretation, model orchestration, routing, retrieval, tool use, structured generation, validation, repair, and visual verification.
- Diagnose recurring failure modes and turn them into durable improvements in prompts, data, system logic, constraints, or evaluation.
- Build compiler-backed feedback loops and deterministic quality gates that prevent invalid or low-quality outputs from reaching users.
- Develop experiments and fixed evaluation batteries that show whether a change genuinely improves output quality.
- Train specialized generative models
- Design supervised fine-tuning datasets, training recipes, and post-training experiments for direct Motion DSL generation.
- Explore distillation, preference optimization, synthetic-data generation, reinforcement-learning approaches, and constrained generation where they are the right tools.
- Select checkpoints using robust evaluations across correctness, visual quality, reliability, latency, and cost - not training loss alone.
- Determine whether a model failure is best addressed through data, training, inference, evaluation, or the underlying language/runtime.
Languages
- Work format
- Remote
- Seniority
- Senior
- Posted
- 18 Sept 2026 (yesterday)
- Last verified
- 20 Sept 2026
- Apply by
- 17 Nov 2026