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# Software Engineer (Staff)

- **Company:** Alldus International Consulting Ltd
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Computer Programming, Data Infrastructure, Data Integrity, Programming Tools, Distributed Systems, Python (Programming Language), Software Engineering, AI Infrastructure, Rust (Programming Language), Reliability of Systems, Agentic-AI, Integration Frameworks, Data Management, Virtual Agents, Automation Anywhere, Golang
- **Published:** November 8, 2026
- **Apply:** https://www.juju.com/job/28_25197_61726f2f44eba474bc91f747aabf0fbf

## About the Role

* At least 8 years of professional software engineering experience, including experience operating at Staff, Principal or equivalent senior IC level.
 * Deep expertise in backend engineering and distributed systems, including areas such as data infrastructure, workflow engines, transactional systems, integration platforms or AI agent platforms.
 * Strong programming skills in Python, Go, Java, Rust or a comparable modern language, with the ability to quickly become productive in Python.
 * Proven experience designing platform infrastructure, frameworks and architectural abstractions that support multiple engineering teams and products.
 * Track record of leading significant technical and architectural decisions, particularly within ambiguous, rapidly evolving environments.
 * Strong understanding of system reliability, scalability, observability, data integrity, security and production infrastructure.
 * Ability to quickly understand complex business domains and translate workflows and requirements into scalable, reusable technical solutions.
 * A high-ownership approach, with the ability to identify problems, define solutions, make technical decisions and deliver with minimal direction.
 * Experience working within an early-stage technology company, ideally from pre-seed through Series B.
 * Comfortable remaining deeply hands-on across AI systems, backend engineering, infrastructure, data platforms and product development.

## Description

* Design and develop the core AI agent platform, building shared frameworks for context management, verification, guardrails, evaluation, observability and developer tooling.
 * Architect the financial context layer that enables AI agents to reason across ledger data, accounting policies, contracts, historical decisions, dimensions and permissions.
 * Define and implement standards for AI reliability, auditability, verification and evaluation, ensuring AI-generated outputs can be trusted within critical financial workflows.
 * Build scalable financial data infrastructure for ingesting, normalizing, reconciling and modeling data from ERPs, banks, billing, payroll, CRM and other enterprise systems.
 * Design reliable orchestration systems capable of supporting complex, long-running and stateful AI workflows.
 * Develop secure and fully traceable mechanisms for writing AI-generated actions back to ERPs and financial systems of record.
 * Identify architectural bottlenecks and create reusable platforms, frameworks and abstractions that improve engineering productivity across the organization.
 * Lead key architectural decisions across distributed systems, AI infrastructure, data platforms, enterprise integrations and product architecture.
 * Collaborate directly with accountants, controllers, CFOs and customers to understand complex financial processes and translate them into scalable production systems.
 * Remain deeply hands-on, using modern AI development and coding tools to design, build, test and ship production-grade systems.