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2 weeks ago
We are seeking a hands-on Senior AI engineer with deep expertise in building production grade AI solutions.
This is an exceptional opportunity to lead the development of innovative platforms and teams.
About the Role- Design, develop, and optimize large language model pipelines using LangGraph and other orchestration tools.
- Implement scalable retrieval-augmented generation architectures to integrate internal and external knowledge bases.
- Work with knowledge graphs to structure, enrich, and query data efficiently for consumption by large language models.
- Build and maintain agents capable of answering complex domain-specific queries.
- Fine-tune or prompt-engineer large language models for performance, alignment, and reliability.
- Collaborate with machine learning operations and infrastructure teams to deploy models and pipelines in production.
- Continuously evaluate model performance and iterate based on feedback and metrics.
- 5+ years of experience in applied machine learning, preferably with large language models.
- Strong proficiency in Python, with hands-on experience in LangChain, LangGraph, or similar frameworks.
- Solid understanding of pipeline architecture, vector stores, and prompt engineering.
- Experience working with knowledge graphs.
- Familiarity with large language models such as OpenAI GPT, Gemini.
- Strong problem-solving skills and ability to collaborate effectively.
- Excellent communication and technical writing skills.
- Ability to adapt quickly to changing project requirements.
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Enterprise Solutions Architect
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Technical Solutions Architect
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