Freehand - Backend Engineer
Requirements
• 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 • Experience with multi-agent orchestration and agent-to-agent communication protocols • Familiarity with event sourcing, rule engines, or policy systems • Knowledge of production debugging at scale and observability tooling • Contributions to or experience with open-source LLM tooling ecosystems • Experience with agent observability tooling (LangSmith, Arize, Helicone, or custom trace pipelines) and eval design • Experience building LLM-powered systems in production; familiarity with agent frameworks (LangChain, CrewAI, or custom) • Working at Freehand • Working at Freehand • Series B, ~100 people across the US and India. Big enough to have infrastructure, small enough that your work is visible. We run on five core operating principles; these are not values-on-a-wall, this is the exact philosophy we built our AI agents on : • Context Before Confidence. We get in, ask (a ton of) questions, connect the dots ourselves and move fast. No passengers, no hand-holding. The amount of confidence you'll have in Week 1 is directly proportional to the context strive to gain. • Context Before Confidence. • Decisions, not Recommendations. Freehand folks decide, they don't present options. You'll have real autonomy, and real accountability to match. • Decisions, not Recommendations. • High Agency, High Trust. We won't manage you closely or ask you to escalate every call. Act, share your reasoning, and course-correct when needed. That's the contract. • High Agency, High Trust. • Accountability is the Product. When something goes wrong — and it will — we name it, learn from it, and move on. No politics, no cover. Just fix it. • Accountability is the Product. • The Work That Remains is the Work That Matters. We actively cut low-value work. What lands on your plate is there because it matters — and can only be done by you. • The Work That Remains is the Work That Matters. • It's a small world. Freehand employees Work Anywhere across US & India (we're remote & travel-first). As and when required, for this role, we will also arrange for a fully-paid trip to our HQ in Chennai to meet & interact with cross-functional teams. • Work Anywhere • Equal Opportunity • Equal Opportunity • Freehand hires on merit — your thinking, your track record, your potential — without regard to race, gender, age, religion, sexual orientation, national origin, disability, or any other protected characteristic. If you meet most of the criteria above but not all of it, apply anyway. We care more about your willingness to learn & take initiative than whether your resume maps perfectly to every line.
Responsibilities
• 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 • Own critical services that manage procurement, invoice, contract, and payment workflows • Implement orchestration logic that coordinates AI agents, humans, and enterprise systems • Build resilient systems with strong guarantees around idempotency, retries, and failure handling • API & Integration Development • Build and maintain robust APIs consumed by AI services, frontend apps, and external systems • Integrate deeply with ERP systems, procurement platforms, and payment gateways and financial rails • Handle complex data normalisation and transformation across enterprise systems • AI Agent Building, Observability & Testing • Build agent execution runtimes: tool calling, context management, memory, and multi-step reasoning loops • Implement multi-agent coordination—parallel and sequential workflows with human-in-the-loop escalation • Instrument agent execution with full trace capture: tool calls, LLM I/O, latency, token usage, and cost • Design evaluation frameworks for agent output quality, task success rate, and regression detection • Build automated test harnesses for agent pipelines—unit, integration, and replay-based regression tests • Define and track agent reliability metrics: task completion rate, escalation rate, cost per workflow, and SLA adherence • Reliability, Security & Compliance • Design systems with enterprise-grade reliability, monitoring, and alerting • Implement fine-grained access controls, audit logs, and data security best practices • Ensure backend systems meet compliance requirements for financial and regulated data • Performance & Scale • Optimize backend systems for latency, throughput, and cost efficiency • Design services that scale across global customers and billions of transactions • Proactively identify and fix bottlenecks in distributed systems
Benefits
• $150K – $300K • Offers Equity • Offers Bonus • Hiring across Senior, Staff and Principal Engineers for this role so final OTE offered will depend on candidate experience and seniority • Most AI companies are building tools. We're building the worker. • Freehand's AI agents replace the human decision-making and coordination layer that sits above enterprise software — handling the analysis, negotiation, prioritization, and execution that previously required armies of logisticians / supply chain professionals. • Our customers include Apple, Meta, GE, Pfizer, J&J, Schlumberger, Cardinal Health, and Unilever. They chose us because we have a fundamentally different answer to what enterprise software looks like when AI can do the job. • If you want to work on something that matters, with people who will push you to be sharper than you thought you could be, this is the place.
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