Backend Engineer

🕒 July 28

🌐 India, United States – Remote

🇮🇳 India – Remote 🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 55%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Freehand

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2026

📦 Logistics

🤖 Artificial Intelligence

🏢 Enterprise

Logistics • Artificial Intelligence • Enterprise

Freehand is a B2B enterprise software company that uses AI-driven teams and agents to audit freight invoices, enforce logistics contracts, manage supply chain spend, and close disputes with auditable outcomes posted back to customers' ERPs. The company offers freight audit & payment, 3PL contract enforcement, global trade validation (duties/tariffs/FTA benefits) and claims to recover 5–10% of spend for customers. Freehand raised a $55M Series B to launch AI agents for billing and collections and targets logistics, manufacturing, and retail enterprises.

📋 Description

• Build high-throughput, low-latency backend services powering AI agent execution • Develop workflow orchestration systems for complex, multi-step enterprise processes • Implement rule engines, policy enforcement layers, and enterprise compliance controls • Build APIs and integrations with ERPs, procurement tools, payment rails, and data providers • Create observability, audit, and traceability systems for AI-driven decisions • Develop secure data pipelines handling sensitive financial and operational data • Build agent execution runtimes, multi-agent coordination, and observability pipelines • Design evaluation frameworks and automated test harnesses for agent reliability and output quality • Design and build scalable backend services using modern system design principles • Own critical procurement, invoice, contract, and payment workflow services • Implement orchestration coordinating AI agents, humans, and enterprise systems • Build resilient systems with idempotency, retries, and failure handling • Handle data normalization and transformation across enterprise systems • Instrument agent execution with trace capture of tool calls, LLM I/O, latency, token usage, and cost • Define and track agent reliability metrics • Design enterprise-grade monitoring, alerting, access controls, audit logs, and data security • Ensure backend systems meet compliance requirements for financial and regulated data • Optimize systems for latency, throughput, and cost efficiency • Design services scaling across global customers and billions of transactions • Identify and fix distributed-systems bottlenecks

🎯 Requirements

• 6–15 years of experience building production backend systems • Strong proficiency in Python, NodeJS, Go, or similar backend languages • Deep understanding of distributed systems, APIs and microservices, SQL and NoSQL databases, and message queues/event-driven architectures • Proven experience designing scalable, fault-tolerant systems • Strong grasp of consistency, concurrency, and data integrity trade-offs • Experience with financial systems, enterprise SaaS platforms, or sensitive/regulated data • Experience with workflow engines or state-driven systems is a plus • Experience with multi-agent orchestration and agent-to-agent communication protocols is nice to have • Familiarity with event sourcing, rule engines, or policy systems is nice to have • Knowledge of production debugging at scale and observability tooling is nice to have • Contributions to or experience with open-source LLM tooling ecosystems is nice to have • Experience with agent observability tooling (LangSmith, Arize, Helicone, or custom trace pipelines) and eval design is nice to have • Experience building LLM-powered systems in production and familiarity with agent frameworks (LangChain, CrewAI, or custom) is nice to have

🏖️ Benefits

• Full Health coverage (accidental, life, vision, dental & health consultations) • Monthly home-internet costs • Flexible working hours • Complimentary food & snacks at the Chennai HQ • Fully-paid trip to the Chennai HQ as and when required • Remote & travel-first work arrangement

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