
Transformative Large Language Model Architect
2 days ago
We are seeking an experienced Senior AI Engineer to join our team. The ideal candidate will have a strong background in artificial intelligence and machine learning, with expertise in building and deploying large language models.
- About the Job:
- This is a challenging role that requires a deep understanding of AI and ML concepts, as well as hands-on experience with LLM pipelines, prompt engineering, and agentic reasoning workflows.
- The successful candidate will be responsible for designing, implementing, and optimizing LLM pipelines using frameworks such as LangChain, LangGraph, and OpenAI/Anthropic APIs.
Key Responsibilities:
- Design and implement LLM pipelines for large-scale applications.
- Develop and refine prompt engineering strategies and agent reasoning workflows.
- Build and maintain evaluation frameworks for measuring model performance.
- Collaborate closely with data scientists and product teams to translate business needs into technical implementations.
Requirements:
- 5+ years of experience in ML/AI engineering, with a strong focus on building and deploying AI/GenAI applications.
- Proficiency in Python (ML libraries, GenAI/LLM frameworks) and Java (enterprise application development, OOP).
- Practical experience developing with LLM frameworks such as LangChain, LangGraph, and vendor SDKs/APIs (OpenAI, Anthropic, etc.).
- Strong skills in prompt engineering and designing agentic reasoning pipelines.
- Solid understanding of ML evaluation techniques and experience in implementing model monitoring & metrics.
Bonus:
- Contributions to open-source projects, blogs, or technical papers in LLM/GenA.
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