
AI Innovations Visionary
6 days ago
We are seeking a highly skilled GenAI engineer leader to join our team. As a key member of our organization, you will be responsible for designing, developing, and optimizing LLM pipelines using LangGraph and other orchestration tools.
The ideal candidate will have deep expertise in building enterprise production-grade AI solutions and strong proficiency in Python, with hands-on experience in LangChain, LangGraph, or similar frameworks. They should also have a solid understanding of RAG pipelines, vector stores, and prompt engineering.
Key Responsibilities:
- Design and develop LLM pipelines using LangGraph and other orchestration tools.
- Implement scalable RAG architectures to integrate internal and external knowledge bases.
- Work with knowledge graphs to structure, enrich, and query data efficiently for LLM consumption.
- Build and maintain AMA-style agents capable of answering complex domain-specific queries.
- Fine-tune or prompt-engineer LLMs for performance, alignment, and reliability.
- Collaborate with MLOps and infra teams to deploy models and pipelines in production.
Required Skills:
- 5+ years of experience in applied machine learning, preferably with LLMs or NLP.
- Strong proficiency in Python, with hands-on experience in LangChain, LangGraph, or similar frameworks.
- Solid understanding of RAG pipelines, vector stores, and prompt engineering.
- Experience working with knowledge graphs.
- Familiarity with LLMs such as OpenAI GPT, Gemini.
Benefits:
- Innovative Environment: Be part of a company driving disruption in the SaaS tech stack.
- Leadership Opportunity: Work directly with a founder in an outcome-first and people-centric culture.
- Market Ready: Join a company with a defined market and problem, poised for exponential growth.
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