
Improve Conversational AI Models
2 days ago
We are seeking an experienced Large Language Model (LLM) engineer to join our team. In this role, you will design, train, and deploy large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
- You will work closely with data scientists and product owners to define project requirements, translate technical details, and deliver impactful AI products.
- Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
- Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
- Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.
Key Skills:
- 4+ years of professional experience in building Machine Learning models & systems
- 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.
- Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
- Understanding of Cloud services from various cloud services from Azure, GCP, or AWS for building the GenAI applications
- Excellent communication skills to effectively collaborate with business SMEs
Benefits:
- Professional growth opportunities
- A dynamic and collaborative work environment
- Competitive salary and benefits package
Others:
- This role requires strong teamwork and collaboration skills, as well as excellent communication and problem-solving abilities.
- The ideal candidate will be able to adapt quickly to new technologies and workflows.
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