
Building the Future of AI
2 weeks ago
We are seeking an experienced Senior AI engineer to lead the charge in revolutionizing our SaaS tech stack.
This role involves designing, developing and optimizing large language model pipelines using LangGraph and other orchestration tools, implementing scalable RAG architectures to integrate internal and external knowledge bases, working with knowledge graphs to structure, enrich and query data efficiently for LLM consumption, building and maintaining AMA-style agents capable of answering complex domain-specific queries, fine-tuning or prompt-engineering LLMs for performance, alignment and reliability, collaborating with MLOps and infra teams to deploy models and pipelines in production, and continuously evaluating model performance and iterating based on feedback and metrics.
- 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.
As a member of our GenAI-native team, you will be part of a company driving disruption in the SaaS tech stack, have a leadership opportunity to work directly with a founder, and join a company with a defined market and problem, poised for exponential growth.
Benefits: Outcome-first culture, people-centric environment, leadership opportunities, collaborative teams.
How to Succeed: Strong communication skills, ability to adapt to new technologies, continuous learning and self-improvement, collaboration and teamwork.
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