AI Orchestration Engineer

RecordPoint is a data and information lifecycle management SaaS product designed to give highly-regulated organizations a competitive edge through safer, more secure, and better-managed data. We're a disruptor in our industry, set apart from competitors by our cutting edge technology and innovation-first mindset.

Our global customer list includes top-tier brands and government agencies like the City of New York, Westpac, National Australia Bank (NAB), Australian Prudential Regulation Authority (APRA), Security Benefit, Cupertino Electric, Australian Securities & Investments Commission (ASIC), Transport for NSW, Ausgrid, and Pacific Gas & Electric (PG&E).

But there's more to us than the what we do — like the who behind it all. Team RecordPoint is made up of 130+ tech-driven professionals at the top of their respective fields. Together, we foster a supportive, collaborative and transparent environment, collectively working toward the singular goal of continuously doing better.

About the role

RecordPoint is building a continuously operating, agentic Go-To-Market (GTM) operating system that monitors signals, reasons about opportunities, and proactively assists sales execution. As an AI Orchestration Engineer, you will design and implement the underlying multi-agent orchestration framework, integrations, and governed AI capabilities that make this possible. You will write repeatable, maintainable code; establish best practices with your manager; and enable a broader internal community of AI Orchestration Engineers through 1:1 training, peer mentoring, workshops, and showcases.

You Will Build

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• Agentic orchestration framework supporting proactive, verticalized GTM personas (e.g., Public Sector, FSI, Healthcare)
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• Signal collection pipelines from external and internal sources (news, regulations, competitor activity, Salesforce, product/roadmap systems, Teams, analytics)
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• Reasoning and decision components for opportunity detection, account prioritization, and next-best actions with explainability, source attribution, and confidence
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• Content generation services for tailored messaging, executive briefs, sales presentations, and demo recommendations
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• Production-grade integrations with Salesforce, Microsoft Teams, internal knowledge bases, and external intelligence feeds
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• Governed AI foundations: permission-aware data access, audit trails, human approval workflows, model/prompt governance, and safe action boundaries

You Will Deliver

Engineering & Architecture

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• Design modular, reusable agentic components and orchestration patterns that scale across GTM and future operational domains
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• Implement robust data ingestion, normalization, correlation, and opportunity scoring pipelines
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• Build vertical specializations via configurable context, taxonomies, and policy-aware prompts
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• Deliver observability, telemetry, and reliability tooling for always-on, proactive agents
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• Embed explainability and traceability into recommendations, including evidence linking and rationale

Integration & Platform

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• Own end-to-end integrations with Salesforce, Microsoft Teams, product delivery and roadmap systems, analytics platforms, and external signal sources
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• Establish extensible connector patterns, error handling, and backoff/queueing strategies for scale
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• Partner with Security and Data teams to enforce governance-by-design

Quality & Best Practices

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• Champion maintainable code: clear module boundaries, testable units, typed interfaces, and robust CI/CD
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• Define coding standards, review guidelines, and documentation practices with your manager
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• Instrument performance budgets and SLAs for agent latency, throughput, and uptime

Collaboration & Enablement

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• Work closely with the GTM Team to translate market and sales requirements into agent capabilities tied to measurable outcomes
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• Run internal workshops, peer mentoring, and 1:1 training to upskill engineers and domain experts into AI Orchestration contributors
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• Create showcases and reference implementations that accelerate adoption across RecordPoint

Why RecordPoint

• Fast-growth Australian-owned company
• Flexible work environment and a strong focus on work-life harmony
• Innovation is our way of life
• Personal Development budget for all staff
• Access to Employee Stock Ownership Plan
• A brilliant graduate program that provides both mentoring and growth opportunities for all
• Work on a product that makes a real social-good impact on the world
• Global opportunities!

Required Qualifications

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• 5+ years of backend or platform engineering with a strong track record of building production systems that are maintainable, well-tested, and observable
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• Hands-on experience with AI/LLM-powered applications or autonomous/agentic workflows (tools, planners, memory, retrieval, or function calling)
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• Proficiency in a modern language for services/orchestration (e.g., Python, TypeScript/Node.js, or Go) and familiarity with cloud-native patterns (containers, queues, event streams)
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• Experience integrating enterprise systems (e.g., Salesforce, Microsoft Graph/Teams, data warehouses, analytics) with secure auth and permission models
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• Data engineering fundamentals: schema design, normalization, enrichment, scoring models, and pipeline reliability
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• Strong focus on code quality: automated testing, CI/CD, code reviews, documentation, and architectural decision records
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• Security-first mindset: least privilege, PII handling, auditability, and compliance-aware design