
Senior Language Model Specialist
1 week ago
Job Title: Senior Language Model Engineer
">This role involves the design, fine-tuning, and productionization of large language models (LLMs) for production-grade applications.
">Responsibilities
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- Design and implement Retrieval-Augmented Generation (RAG) pipelines for embeddings generation, chunking strategies, and vector search integration.">
- Develop scalable inference services and APIs, containerize, and deploy to cloud/Kubernetes with low-latency and cost-optimized inference.">
- Collaborate with data engineers and ML scientists to productionize data pipelines, automate retraining, monitoring, evaluation, and drift detection.">
- Drive prompt-engineering, evaluation frameworks, and safety/guardrail implementation to ensure reliable and explainable LLM behavior in production.">
Requirements
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- 4+ years of experience in data science/ML engineering with demonstrable experience building and shipping LLM-based solutions to production.">
- Strong Python engineering background and hands-on experience with PyTorch and Hugging Face Transformers.">
- Practical experience implementing RAG: embeddings, vector DBs, chunking, and retrieval tuning.">
- Production deployment experience: Docker, Kubernetes, cloud infrastructure, and inference optimization.">
Preferred Qualifications
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- Experience with LangChain/LangGraph or similar orchestration frameworks.">
- Familiarity with ML observability, model governance, safety/bias mitigation techniques, and cost/performance trade-offs for production LLMs.">
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