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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** Variance, Inc. - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Operational Databases, Software Deployment, Software Engineering, Large Language Models - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/software-engineer-agent-variance-8817351 ## About the Role * 3-5 years in customer-facing technical roles, forward-deployed or solutions engineering, or software engineering with direct customer exposure * Strong software engineering fundamentals with a track record shipping end-to-end production systems * Hands-on experience building with LLMs, including prompt and context engineering, tool use, and evals, plus calibrated instincts about what models can and cannot do reliably * Strong problem-solving in ambiguous, fast-changing environments. You can take a fuzzy customer workflow and turn it into a working system. * Comfort working directly with customers with the ability to communicate complex technical concepts to both engineers and executives * Bonus if you have familiarity with deploying agentic systems in production, domain experience in fraud or risk, or experience shipping into regulated environments (security reviews, data residency, audits) ## Description * Design and ship production-grade AI agents. You'll build agents that make decisions inside fraud and risk workflows, partnering directly with our customers at the scale of millions of investigations per deployment. * Own the technical evaluation. You'll design evaluations and PoCs based on the customer's data and pain points, and drive the technical execution of pilots and production deployments. You will translate customer edge cases into the technical evaluation, and you will be the technical voice in a room of executive stakeholders. * Learn how the work is done: You'll sit with operational stakeholders, and directly encode their judgement into the agent. * Own the agent development lifecycle end to end. You'll take agents from the initial pilot through deployment and continuous iteration by scoping the workflow with the customer, engineering the context and tools the agent needs, building evals that actually measure decision quality, and tuning performance against real production data. You set the bar for what a well-built agent looks like. * Design customized demos. You'll be embedded in the pre-sales process and partner with our sales team to run technical discovery. You'll then help showcase the power of Variance on a customer's own data by setting up demo environments tailored to their industry and key use case. * Shape the roadmap long-term. The patterns you see across deployments drive what Variance builds: the context engine, entity graph, and agentic review automation. What one customer needs today may define the roadmap for every customer in that industry. Example projects * Build the onboarding verification agent for an enterprise marketplace, helping to promote and support the expansion into international geographies. * Design the supervisor layer that verifies agent decisions before they reach an investigator's queue * Engineering the eval harness that helps align the detection of fraud against millions of samples of real-world fraud. ## Related Videos - [100 times more frequent deployments: How did we create a high performance team?](https://www.wearedevelopers.com/videos/1069-100-times-more-frequent-deployments-how-did-we-create-a-high-performance-team) - [The Avengers Initiative (Practical Ethics for Software Engineers)](https://www.wearedevelopers.com/videos/2070-the-avengers-initiative-practical-ethics-for-software-engineers) - [Databases on Kubernetes: Why you should care](https://www.wearedevelopers.com/videos/74-databases-on-kubernetes-why-you-should-care) - [You are not an AI developer](https://www.wearedevelopers.com/videos/1148-you-are-not-an-ai-developer) - [What Production Knows: Closing the Loop Between AI Agents and the Systems They Build](https://www.wearedevelopers.com/videos/100277-what-production-knows-closing-the-loop-between-ai-agents-and-the-systems-they-build) - [From Space to Software: Reliability Lessons 40 Years After Challenger](https://www.wearedevelopers.com/videos/100283-from-space-to-software-reliability-lessons-40-years-after-challenger) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Are Software Engineer Wages Being Pushed Down? 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