Note: The job is a remote job and is open to candidates in USA. Freehand is building AI agents that handle enterprise decision-making and execution. The Backend Engineer will build and scale distributed systems, APIs, workflow orchestration, and AI agent infrastructure for procurement, financial, and other enterprise processes, with a focus on reliability, security, observability, and testing.
Responsibilities
- 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
- 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
- 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
- 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
- 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
Skills
- Strong experience building 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 working with financial systems, enterprise SaaS platforms, or sensitive/regulated data
- Comfort operating in environments where backend failures have a real business impact
- Experience building workflow engines or state-driven systems is a plus
- 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)
Benefits
- Work Anywhere across US & India (we're remote & travel-first).
- For this role, we will also arrange for a fully-paid trip to our HQ in Chennai to meet & interact with cross-functional teams.
Company Overview