
LLM Engineer
3 weeks ago
Required skills
- 4+ years of professional experience in buildingMachine Learning models& systems
- 1+ years of hands-on experience in howLLMswork &Generative AI (LLM)techniques particularly prompt engineering,RAG,and agents.
- Experience in driving the engineering team toward a technical roadmap.
- Expert proficiency in programming skills inPython, Langchain/LanggraphandSQLis a must.
- Understanding of Cloud services, includingAzure, GCP, or AWS
- Excellent communication skills to effectively collaborate with business SMEs
Roles & Responsibilities
- Develop and optimizeLLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
- Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
- Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
- Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
- Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
- Continuous innovation: 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.
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