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# Software Engineer - AI Agents

- **Company:** LIVEFLOW, INC.
- **Location:** San Francisco, CA, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Code Review, Continuous Integration, Data Security, Django Web Framework, Next.js, Software Engineering, TypeScript, Large Language Models, Agentic-AI, Front End Software Development, Graphite, Functional Programming, Terraform
- **Published:** October 26, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-ai-agents-san-francisco-ca--74a897d7-6076-4700-9fa7-8d86a5f169c6

## About the Role

Software Engineering, Artificial Intelligence (AI) Agents, Finance, Accounting, Problem Solving Skills, Team Player, Product Design, Recruiting Software, Software Engineering, Artificial Intelligence (AI) Agents, * Frontend: Next.js, TypeScript

 * Infrastructure: AWS, Terraform

We don't expect experience in everything.

If you've worked with functional languages, frameworks like Rails/Django, or modern frontend stacks, you'll ramp quickly. What matters most is your ability to learn, adapt, and build., * Strong software engineering fundamentals

 * Experience building with AI agents, LLM-powered systems, or workflow automation
 * Product mindset - you care about users and outcomes, not just implementation
 * Ability to operate in fast-paced environment where we embrace uncertainty
 * High ownership and willingness to wear multiple hats
 * Intuition for when to follow best practices and when to rethink them

## Description

We're hiring Software Engineers to build AI agents that power the next generation of LiveFlow.

This is a full-stack role at its core, with a strong focus on designing and developing agent-driven systems embedded throughout the product.

We're building a system of collaborating agents, with precision tools and robust auditability, giving our users superpowers they can deploy with confidence.

What You'll Work On

 * Understanding customer workflows, use-cases and jobs to be done
 * Building AI agents to simplify and eliminate tedious and error-prone tasks
 * Developing the realtime platform for finance teams to work together and with agents
 * Designing and scaling APIs and CLI to enable interoperability
 * Contributing to compounding engineering practices that enable our team to operate more efficiently and effectively
 * Ensuring high standards of data security, reliability, and compliance

How We Use AI

In Engineering:

 * We offer unlimited budget to use and explore the latest coding tools
 * You can work with whatever agents and environment you prefer, locally or in the cloud
 * We employ the principles of compound engineering, expecting everybody to invest in bettering the agentic coding environment, through docs, skills, tools and MCP
 * We use Linear to spec our work, Graphite for stacked PRs and better review UX, Cubic for assisted code review, Blacksmith to run our CI/CD

In the Product:

 * Anything a user can do, an agent should be able to do - through tool calls, APIs and CLI
 * Like software, the work of accounting is changing from the acts of writing and doing to the acts of reading and reviewing - we're building to enable that future
 * Accuracy, auditability and security remain non-negotiable
 * Speed, efficiency and simplicity are how we stand out