
AI Engineering Manager
1 day ago
We are seeking an experienced Engineering Lead to oversee the development and deployment of large language model–based systems.
Responsibilities:- Design, fine-tune, and deploy large language models 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.
- Achieve optimal deployment pipelines on cloud platforms (Azure, AWS, or GCP), ensuring CI/CD, scalability, and cost-efficiency.
- Communicate complex technical concepts to stakeholders, providing actionable insights for product owners, data scientists, and domain SMEs.
- Lead technical initiatives, mentor junior team members, and promote best practices in machine learning and LLM engineering.
- 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.
- Excellent communication skills for effective collaboration with technical and non-technical stakeholders.
- Pioneering role in cutting-edge AI research and development.
- Opportunity to work with diverse technologies and skill sets.
- Ongoing professional growth and skill enhancement.
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