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1 day ago
We are looking for an experienced professional to join our team and contribute to the development of large language model–based systems. The ideal candidate will have a strong background in machine learning, deep learning, and generative AI.
- Design, fine-tune, and deploy large language model–based systems using advanced techniques such as prompt engineering, retrieval-augmented generation (RAG), and agent frameworks.
- Deliver production-grade, reusable, and scalable code in Python and SQL, leveraging libraries like LangChain and LangGraph.
- Architect and optimize deployment pipelines on cloud platforms, considering CI/CD, scalability, and cost-efficiency.
- Translate complex technical concepts into actionable insights for product owners, data scientists, and domain SMEs.
- Provide technical leadership, coach junior team members, and foster a culture of best practices in machine learning and LLM engineering.
Requirements:
- At least 5 years of professional experience in developing and deploying ML models in production environments.
- Practical experience working with large language models and generative AI, including prompt design, RAG pipelines, and AI agents.
- Ability to set and guide a technical roadmap for engineering teams.
- Advanced programming proficiency in Python and SQL with strong expertise in LangChain/LangGraph.
- Familiarity with cloud ecosystems (Azure, AWS, or GCP) and modern DevOps practices.
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