
Expertise in Generative AI
6 days ago
We are seeking a highly experienced engineer to spearhead the development and deployment of large language model–based systems. This role is ideal for someone who can blend deep machine learning expertise with hands-on experience in generative AI systems.
Main Responsibilities:
- Design, fine-tune, and deploy large language model–based systems using advanced techniques such as prompt engineering, retrieval-augmented generation (RAG), and agent frameworks.
- Develop production-grade, reusable, and scalable code in Python and SQL, leveraging libraries like LangChain and LangGraph.
- Orientate and optimize deployment pipelines on cloud platforms (Azure, AWS, or GCP), ensuring CI/CD, scalability, and cost-efficiency.
- Translate complex technical concepts into actionable insights for stakeholders.
- Provide technical leadership, coach junior team members, and foster a culture of best practices in machine learning and LLM engineering.
- Continuously experiment with new research, tools, and methods in generative AI to keep our solutions cutting-edge.
Key Qualifications:
- 5+ years of professional experience in developing and deploying ML models in production environments.
- At least 1 year of practical experience working with large language models and generative AI, including prompt design, RAG pipelines, and AI agents.
- Proven 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.
- Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders.
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