
Large Language Model Developer
2 weeks ago
We are seeking an experienced AI Engineer to play a critical role in our GenAI-powered products. The ideal candidate will work closely with our product and engineering teams to develop domain-specific vertical Large Language Models (LLMs), curate datasets, optimize performance, and deploy production-ready models.
- Design, configure, and deploy LLM-based solutions including open-source models and APIs.
- Develop and fine-tune Small Language Models (SLMs) for specific enterprise verticals.
- Write efficient Python code for training pipelines, model orchestration, inference services, and dataset management.
- Build, clean, and label datasets for supervised fine-tuning and evaluation.
- Conduct experimentation and benchmarking across models to measure accuracy, latency, and cost-performance trade-offs.
- Apply Retrieval-Augmented Generation (RAG) techniques, embedding models, and vector database integrations.
- Ensure security, compliance, and scalability of deployed LLM solutions.
- Collaborate with cross-functional teams to integrate models into enterprise platforms.
- A minimum of 4-6 years of experience in AI/ML development, with a strong focus on NLP and GenAI.
- Hands-on expertise in LLMs like GPT, LLaMA, Falcon, Mistral, or similar open models.
- Proficiency in Python and key libraries.
- Experience with dataset creation, curation, and labeling for fine-tuning tasks.
- Knowledge of vector databases, embeddings, and similarity search.
- Familiarity with model serving frameworks.
- Ability to optimize model inference for latency and cost efficiency.
- Experience with ML lifecycle tools is a plus.
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