Senior Software Engineer (Solution Factory)

Senior Software Engineer, Agentic AI & Workflow Automation

Location: Remote (US, Pacific through Eastern time zones)
Employment: Full-time
Compensation: $175,000–$195,000 base + equity
Company: Growing AI Software Company

About the Opportunity

Fuel Talent is partnering with an innovative, venture-backed technology company building next-generation enterprise software powered by AI. The team is developing sophisticated solutions that help organizations automate complex workflows, improve operational efficiency, and deploy reliable AI-driven systems at scale.

We're looking for a Senior Software Engineer with deep experience in agentic AI, workflow orchestration, and production backend engineering.

This is a hands-on role with significant ownership from day one. You'll work closely with engineering leadership to build and scale intelligent automation systems, develop production-grade AI agents, and establish the infrastructure and quality standards needed to deploy AI-powered workflows reliably.

The ideal candidate has strong Python engineering skills, has shipped production LLM or agent-based systems, and understands how to build reliable orchestration frameworks beyond simple prototypes or chatbot integrations.

What You'll Do

• Design, build, and maintain production-grade Python services supporting AI-powered workflow automation.

• Develop and enhance agentic systems that translate business requirements into executable workflows.

• Build workflow orchestration capabilities, including process modeling, execution logic, and automation frameworks.

• Integrate AI coding agents into development workflows with automated testing, validation, and feedback loops.

• Design and maintain evaluation frameworks, guardrails, and human-in-the-loop review processes to ensure reliable AI behavior.

• Monitor and optimize agent performance, including execution reliability, latency, resource consumption, and efficiency.

• Implement security practices for AI-generated code, including validation, code scanning, and protection against prompt injection.

• Deploy, operate, and troubleshoot production services running on Kubernetes.

• Contribute to backend architecture, APIs, and distributed systems supporting the broader platform.

• Collaborate with engineering teams to evaluate emerging agentic frameworks and introduce proven approaches into production.

• Maintain high standards for code quality, observability, documentation, and secure software development.

What Success Looks Like

Within your first six months, you'll have:

• Shipped reliable, production-grade AI-powered workflows.

• Taken ownership of key agent orchestration and workflow automation services.

• Established repeatable processes for testing, evaluating, and deploying agent-generated outputs.

• Improved agent reliability, execution speed, and operational efficiency.

• Demonstrated independent ownership of Python services running in production.

• Contributed meaningful improvements to the broader engineering platform.

What We're Looking For

• 5+ years of professional software engineering experience, with significant hands-on backend development.

• Strong proficiency in Python, including building and maintaining production backend services.

• Proven experience shipping production LLM or agentic AI systems, including evaluations, guardrails, and monitoring.

• Professional experience with agentic frameworks such as LangGraph or similar technologies.

• Hands-on experience building a workflow engine, orchestration system, or compiler.

• Strong understanding of distributed systems, APIs, asynchronous processing, and production software architecture.

• Experience deploying and operating applications on Kubernetes, including troubleshooting production incidents.

• Hands-on experience with AWS or Azure cloud infrastructure and services.

• Familiarity with secure software development practices, including automated testing, code review, and security scanning.

• Experience evaluating AI system performance, reliability, and failure scenarios.

• Comfortable working within established architectural direction while taking ownership of implementation and delivery.

• Strong communication skills and the ability to collaborate across engineering disciplines.

Nice to Have

• Experience with workflow orchestration technologies such as Temporal, Camunda, Airflow, or similar systems.

• Knowledge of workflow engines, compilers, or domain-specific languages.

• Familiarity with policy-as-code, authorization frameworks, or automated governance controls.

• Experience building infrastructure or developer tools for AI agents.

• Exposure to AI-assisted development tools such as Claude Code, Codex, Cursor, or GitHub Copilot.

• Experience with complex enterprise workflows, auditability, or security-sensitive applications.

• Background working at an early-stage startup or AI infrastructure company.

Why This Opportunity?

• High ownership: Take responsibility for meaningful AI and backend engineering initiatives from day one.

• Cutting-edge AI: Build real production agentic systems rather than proofs of concept.

• Technical depth: Work across Python, agent orchestration, Kubernetes, and cloud-native infrastructure.

• Early-stage impact: Help shape the engineering foundations of a growing AI company.

• Collaborative environment: Work directly with experienced engineering leaders on technically challenging problems.

Additional Details

This is a full-time, remote opportunity for candidates based in the United States, working within Pacific through Eastern time zones. Candidates must have existing US work authorization without requiring visa sponsorship.