At Tive , we imagine a fully-transparent world in which everything and everyone is connected. We innovate beyond what the world thought possible—so what people hold near and dear arrives on time and in full. Backed by Techstars.
About the role
As a Senior AI Software Engineer , y ou'll help build and run the shared rails underneath all of it: a central model gateway on AWS Bedrock, authentication and role-based access control, audit logging, evaluation harnesses, and the knowledge layer that grounds every agent in accurate Tive data.
What they're looking for
- A Bachelor of Science in Computer Science or equivalent experience
- Six or more years building production software, including web application development, with time spent operating what you built and not only shipping it
- Experience architecting, designing, and developing distributed systems, and a clear account of the tradeoffs you chose and what you would do differently
- Depth in at least one general purpose programming language, and the fluency to move between others: C/C++, Python, C#, Java, Node, Go, Ruby
- Hands-on experience taking LLM applications all the way to production, not only prototypes, retrieval-augmented generation, tool and function calling, and agent orchestration, plus the operational work that follows them
- Working knowledge of AWS, ideally including Bedrock or a comparable managed model service, and an understanding of how model spend actually accumulates
More about this role
As a Senior AI Software Engineer , y ou'll help build and run the shared rails underneath all of it: a central model gateway on AWS Bedrock, authentication and role-based access control, audit logging, evaluation harnesses, and the knowledge layer that grounds every agent in accurate Tive data.
Tive is rebuilding its core internal business systems; customer portal, service desk, and CRM; with AI embedded from the start rather than bolted on afterward. You'll own the shared rails underneath all of it: a central model gateway on AWS Bedrock, authentication and role-based access control, audit logging, evaluation harnesses, and the knowledge layer that grounds every agent in accurate Tive data.
This is a platform role, a build-first one, and a senior one. You'll join a small team responsible for this infrastructure and work with its technical lead as a peer on design decisions, with real authority over the architecture of what you build and real accountability for how it runs. The alternative to getting this right is that every AI capability arrives as a one-off with its own auth, its own retrieval, and its own permanent maintenance surface; the same plumbing rebuilt three times...
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