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24 hours ago
We are seeking an experienced AI Engineer to lead the development of our core intelligence platform.
The RoleThis is a hands-on role with real ownership, requiring you to design and deploy scalable APIs and services capable of serving hundreds of concurrent requests.
You will work on architecting, implementing, and productionizing vector databases and embedding-based retrieval systems. This includes Gen AI integrations, such as react agents, graph agents, prompt engineering, and LLM orchestration.
This position demands a research-driven and pragmatic mindset with a focus on measurable outcomes.
Key Responsibilities- Design and deploy scalable APIs and services that serve hundreds of concurrent requests.
- Work on architecting, implementing, and productionizing vector databases and embedding-based retrieval systems.
- Lead Gen AI integrations, including react agents, graph agents, prompt engineering, and LLM orchestration.
- Strong background in semantic search, vector databases, LLM frameworks, agent-based systems, and document retrieval.
- Skilled in Python for backend development with the ability to build scalable APIs and services.
- Past experience deploying systems at scale, including search engines, retrieval pipelines, or embedding models.
- Ability to design infrastructure that serves hundreds of concurrent requests.
- Experience setting up and hosting APIs with public access while balancing speed, cost, and reliability.
A strong understanding of scalable system design, architecture, and implementation is essential for this role.
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