We're looking for a Senior LLM Research Engineer to help build and optimize advanced language models for complex, real-world applications. This role spans the full lifecycle of model development, from dataset creation and post-training through inference optimization, evaluation, and continuous improvement.
You'll work on challenging domains where high-quality training data and ground truth are often unavailable, requiring creative approaches to data generation, labeling, evaluation, and model alignment. Success in this role comes from combining strong research capabilities with practical engineering execution.
What You'll Do Lead post-training workflows, including SFT, RL-based training, distillation, and model alignment
Design and implement robust evaluation frameworks, benchmarks, and regression testing suites
Build high-quality training and evaluation datasets from large, unstructured corpora, including synthetic data generation
Train and optimize models on distributed GPU infrastructure, troubleshooting performance and scalability challenges
Improve inference efficiency through quantization, parallelization, decoding optimizations, and serving performance tuning




Analyze results and translate experiments into data-driven model improvement decisions
What You’ll Bring Solid Python expertise and experience with up-to-date LLM frameworks such as PyTorch, Hugging Face Transformers, TRL, DeepSpeed, vLLM , or similar tools
Hands-on experience fine-tuning and aligning large language models using supervised and reinforcement learning approaches
Deep understanding of distributed training, model scaling, and GPU optimization
A rigorous approach to evaluation, experimentation, and measurement
Ability to bridge research and engineering, delivering production-ready solutions with robust software development practices
Preferred Experience Creating labeled datasets from unstructured data, including synthetic data generation at scale
Designing LLM evaluation methodologies, rubrics, and LLM-as-judge systems
Inference optimization, including quantization, speculative decoding, and performance tuning
Building AI solutions for complex, domain-specific tasks where answers require nuance, reasoning, and judgment
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📌 Senior Llm Research Engineer Ontario
🏢 Encore Technical Solutions
📍 Ontario