Backend Engineer

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Develop high-performance, low-latency backend services to support AI agent operations.

• Create workflow orchestration systems for intricate, multi-step enterprise processes.

• Implement rule engines and policy enforcement mechanisms to ensure enterprise compliance.

• Design APIs and integrations with ERPs, procurement tools, payment systems, and data providers.

• Build systems for observability, auditing, and traceability in AI-driven decision-making.

• Construct secure data pipelines that manage sensitive financial and operational information.

• Develop agent execution runtimes, facilitate multi-agent coordination, and establish observability pipelines.

• Create evaluation frameworks and automated testing harnesses to ensure agent reliability and output quality.

• Design and develop scalable backend services following contemporary system design principles.

• Oversee services that manage procurement, invoicing, contract, and payment workflows.

• Implement orchestration that coordinates AI agents, human operators, and enterprise systems.

• Build resilient systems incorporating idempotency, retries, and effective failure management.

• Maintain APIs utilized by AI services, frontend applications, and external systems.

• Normalize and transform complex data across various enterprise systems.

• Instrument agent execution with trace capture, including tool calls, LLM I/O, latency, token usage, and costs.

• Define and monitor agent reliability metrics.

• Design enterprise-grade monitoring, alerting, access controls, audit logs, and data security measures.

• Ensure compliance with regulations for financial and sensitive data.

• Optimize for latency, throughput, and cost efficiency.

• Design services that scale to serve global customers and process billions of transactions.

• Identify and resolve bottlenecks in distributed systems.

⛳️ Requirements

• Extensive experience in building production-level backend systems.

• Proficient in Python, NodeJS, Go, or other similar backend programming languages.

• In-depth knowledge of distributed systems, APIs and microservices, SQL and NoSQL databases, and message queues/event-driven architectures.

• Demonstrated experience in designing scalable and fault-tolerant systems.

• Strong understanding of the trade-offs related to consistency, concurrency, and data integrity.

• Familiarity with financial systems, enterprise SaaS platforms, or handling sensitive/regulated data.

• Ability to operate effectively in environments where backend failures can significantly impact business operations.

• Experience with workflow engines or state-driven systems is advantageous.

• Prior experience in multi-agent orchestration and communication protocols is a plus.

• Knowledge of event sourcing, rule engines, or policy systems is beneficial.

• Experience with production debugging at scale and observability tools is a plus.

• Contributions to or experience with open-source LLM tooling ecosystems is a plus.

• Familiarity with agent observability tools and evaluation design is a plus.

• Experience in building LLM-powered systems in production and knowledge of agent frameworks is a bonus.

🏝️ Benefits

• Work from anywhere in the US & India.

• Enjoy a remote and travel-oriented work setup.

• Fully covered trips to the headquarters in Chennai as necessary.

• Opportunity to engage with cross-functional teams.

• High level of autonomy and responsibility.

• Contribute to visible work within a Series C company of around 100 employees.

• Professional development opportunities through continued learning and proactive engagement.