Build production services — design and ship scalable, reliable backend services and APIs that power the AIVista platform.
Integrate with the enterprise — build the connections, data pipelines, and plumbing that let our platform work inside real customer systems.
Build the infrastructure agents run on — develop the deployment, orchestration, and tooling that keep agentic workflows running reliably in production.
Own quality — write well-tested, maintainable code, and help raise the engineering bar across the team.
Collaborate and iterate — partner with product, AI, and customer teams, and turn feedback and production signals into improvements.
Representative Projects
Build the APIs and services that let agents connect securely to a customer’s systems of record.
Design the data pipelines that feed organizational context into the platform and keep it fresh and correct.
Develop the deployment and orchestration infrastructure that agentic workflows run on in production.
Build the observability and tooling the engineering team relies on to ship and debug quickly.
Harden platform integrations for enterprise environments — authentication, access control, and governance plumbing.
Improve the reliability, latency, and cost of platform services operating at scale.
Qualification
Bachelor’s degree in a technical fieldYou don’t need to check every box
Required
5+ years building and shipping production software
Bachelor’s degree in a technical field, or an equivalent combination of education, training, and experience.
Production-quality software engineering in Python and other modern languages (Go, TypeScript, Rust, or similar), with a track record of building durable systems, not one-off scripts
Experience designing and building scalable backend services, APIs, and data systems
Hands-on experience deploying and operating services on a major cloud platform (AWS, Azure, or GCP), using containers and orchestration (Docker, Kubernetes, Helm, or similar)
Comfortable building with or alongside LLM and AI systems (deep AI development experience is not required)
Bias for action and ownership — you thrive with high autonomy and ambiguity, and ship without sacrificing rigor
Clear communication and collaboration skills, across engineering, product, and customer teams
Preferred
Experience building LLM-powered or agentic applications — model APIs (e.g., OpenAI, Anthropic, Amazon Bedrock), agent frameworks (e.g., LangGraph, LlamaIndex), or retrieval-augmented generation (RAG)
Experience with data-intensive systems — streaming, large-scale processing, or high-throughput pipelines
Experience building or operating software in large, regulated enterprise environments
A track record of independent work — shipped products, open-source contributions, or technical writing
You don’t need to check every box. If you’re excited about this work and confident you can do it — even if your experience doesn’t line up with every qualification above — we’d rather hear from you than have you rule yourself out. Strong candidates often bring backgrounds we didn’t expect.
