Freehand The Backend Engineer at Freehand designs and builds scalable backend services and APIs that power AI-driven enterprise execution. They develop systems for workflow orchestration, compliance, and integration with ERP and financial systems.
Responsibilities
As a Backend Engineer at Freehand, you will build the distributed systems, APIs, and AI agent infrastructure that power AI-driven enterprise execution. You will design and scale backend services that orchestrate agents, enforce business rules, integrate deeply with ERPs and financial systems, and ensure that every action taken by AI is secure, traceable, and reliable.
This is not CRUD SaaS work. You will be building the backend for autonomous systems handling real money and real risk—and the observability and testing infrastructure to keep those systems trustworthy at scale.
•High-throughput, low-latency backend services that power AI agent execution
•Workflow orchestration systems for complex, multi-step enterprise processes
•Rule engines and policy enforcement layers for enterprise compliance
•APIs and integrations with ERPs, procurement tools, payment rails, and data providers
•Observability, audit, and traceability systems for AI-driven decisions
•Secure data pipelines handling sensitive financial and operational data
•Agent execution runtimes, multi-agent coordination, and observability pipelines for AI-driven workflows
•Evaluation and testing harnesses to validate agent behaviour, reliability, and output quality
Backend & Systems Engineering
•Design and build scalable backend services using modern system design principles
Qualification
Core Backend SkillsStrong proficiency in PythonProven experience designing scalableStrong grasp of consistencyEnterprise & Data ContextBonus (Nice to Have)
Required
Core Backend Skills
•6-15 years experience building strong production backend systems
•Strong proficiency in Python, NodeJS, Go, or similar backend languages
•Deep understanding of distributed systems, APIs and microservices, databases (SQL and NoSQL), and message queues / event-driven architectures
•Proven experience designing scalable, fault-tolerant systems
•Strong grasp of consistency, concurrency, and data integrity trade-offs
•Experience building workflow engines or state-driven systems is a plus
Enterprise & Data Context
•Experience working with financial systems, enterprise SaaS platforms, or sensitive/regulated data
•Comfort operating in environments where backend failures have a real business impact
Bonus (Nice to Have)
•Experience with multi-agent orchestration and agent-to-agent communication protocols
