Backend Engineer

Ovii's Interpretation of the Role

Freehand is hiring a Backend Engineer to design and scale distributed, AI‑driven backend services that integrate with ERP and financial systems. The role emphasizes high‑throughput, low‑latency APIs, workflow orchestration, and enterprise‑grade reliability, security, and observability.

Role Snapshot

• Design and build scalable backend services
• Develop robust APIs and ERP integrations
• Create workflow orchestration and rule‑engine layers
• Implement observability, audit, and traceability pipelines
• Ensure security, compliance, and data protection for financial workflows

Must-Have Requirements

• Production backend systems
• Python/NodeJS/Go proficiency
• Distributed systems, microservices
• SQL and NoSQL databases
• Message queues / event‑driven architectures
• API development
• System design for fault tolerance, consistency, concurrency
• Experience with financial systems or regulated data
• building production backend systems
• designing scalable fault‑tolerant services
• integrating with financial/ERP platforms

Nice-to-Have Signals

• Workflow engines or state‑driven systems
• Multi‑agent orchestration
• Event sourcing, rule engines, policy systems
• Observability tooling (LangSmith, Arize, Helicone)
• LLM tooling ecosystems (LangChain, CrewAI)
• Familiarity with production debugging at scale
• Open‑source contributions to LLM tooling
• multi‑agent orchestration
• LLM‑powered system production

Work Setup

• Location: India
• Work mode: REMOTE
• Remote scope: COUNTRY_RESTRICTED
• Remote countries: India
• Employment type: Full-Time

What You'll Likely Work On

• Build high‑throughput, low‑latency backend services that power AI agent execution
• Create workflow orchestration systems for multi‑step enterprise processes
• Develop rule engines and policy enforcement layers for compliance
• Integrate with ERP, procurement, and payment platforms via robust APIs
• Design and maintain observability, audit, and traceability infrastructure
• Implement secure data pipelines handling sensitive financial information
• Construct agent execution runtimes, multi‑agent coordination, and evaluation harnesses
• Optimize performance, latency, and cost for globally‑scaled transaction volumes

Good Fit If You Have

• Enjoy building high‑scale, mission‑critical backend systems
• Comfort working with financial data and regulated environments
• Interest in AI‑agent orchestration, observability, and LLM‑powered services