Member of Technical Staff - Enterprise EngineeringPalo Alto, CA | Hybrid
Role DescriptionAIVista turns foundation models into specialized, governed agents that run mission-critical, regulated enterprise operations reliably at scale. Behind every one of those agents is a lot of software - the services, APIs, data pipelines, and infrastructure that make agentic AI dependable enough to run real enterprise operations. Building that software well is what turns a promising demo into a system enterprises can trust.
As a Software Engineer, you'll design and build the systems that power the AIVista platform, scalable backend services, integrations with enterprise systems, data pipelines, and the infrastructure our agents run on. You'll write high-quality, production-grade code, own meaningful parts of the platform, and work closely with the engineers building our AI capabilities on top of it.
This is a hands-on role at an early-stage company, for someone who wants to own their work rather than tickets. You'll move with velocity and own the result, hold a high bar on quality and reliability where mistakes are costly, and stay flexible as the product and the field evolve.
Responsibilities- 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.
QualificationsMinimum Qualifications- 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 Qualifications- 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.
Benefits- Medical, dental, and vision insurance
- 401(k) plan
- Significant company HSA contribution
- Paid holidays and flexible PTO
- And other benefits
The estimated annual base salary range for this role is $190,000-$250,000 USD. The salary for the successful applicant will depend on job-related factors such as education, training, work experience, business needs, and market demands. This range may be modified in the future. Total compensation also includes variable pay in the form of an annual target bonus and other cash incentives, with a combined potential of up to 100% of base salary.
