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

Agentic orchestration framework supporting proactive, verticalized GTM personas (e.g., Public Sector, FSI, Healthcare)

Signal collection pipelines from external and internal sources (news, regulations, competitor activity, Salesforce, product/roadmap systems, Teams, analytics)

Reasoning and decision components for opportunity detection, account prioritization, and next-best actions with explainability, source attribution, and confidence

Content generation services for tailored messaging, executive briefs, sales presentations, and demo recommendations

Production-grade integrations with Salesforce, Microsoft Teams, internal knowledge bases, and external intelligence feeds

Governed AI foundations: permission-aware data access, audit trails, human approval workflows, model/prompt governance, and safe action boundaries

You Will Deliver:

Engineering & Architecture

Design modular, reusable agentic components and orchestration patterns that scale across GTM and future operational domains

Implement robust data ingestion, normalization, correlation, and opportunity scoring pipelines

Build vertical specializations via configurable context, taxonomies, and policy-aware prompts

Deliver observability, telemetry, and reliability tooling for always-on, proactive agents

Embed explainability and traceability into recommendations, including evidence linking and rationale

Integration & Platform

Own end-to-end integrations with Salesforce, Microsoft Teams, product delivery and roadmap systems, analytics platforms, and external signal sources

Establish extensible connector patterns, error handling, and backoff/queueing strategies for scale

Partner with Security and Data teams to enforce governance-by-design

Quality & Best Practices

Champion maintainable code: clear module boundaries, testable units, typed interfaces, and robust CI/CD

Define coding standards, review guidelines, and documentation practices with your manager

Instrument performance budgets and SLAs for agent latency, throughput, and uptime

Collaboration & Enablement

Work closely with the GTM Team to translate market and sales requirements into agent capabilities tied to measurable outcomes

Run internal workshops, peer mentoring, and 1:1 training to upskill engineers and domain experts into AI Orchestration contributors

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

5+ years of backend or platform engineering with a strong track record of building production systems that are maintainable, well-tested, and observable

Hands-on experience with AI/LLM-powered applications or autonomous/agentic workflows (tools, planners, memory, retrieval, or function calling)

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)

Experience integrating enterprise systems (e.g., Salesforce, Microsoft Graph/Teams, data warehouses, analytics) with secure auth and permission models

Data engineering fundamentals: schema design, normalization, enrichment, scoring models, and pipeline reliability

Strong focus on code quality: automated testing, CI/CD, code reviews, documentation, and architectural decision records

Security-first mindset: least privilege, PII handling, auditability, and compliance-aware design

Know more:

By checking us out on all the usual platforms, and especially our About Us https://www.recordpoint.com/about

or our Life at RecordPoint blog: https://www.recordpoint.com/blog/what-its-like-to-work-at-recordpoint

How to apply:

RecordPoint is an equal opportunities employer.

We offer a fast-paced, dedicated and enjoyable environment, working with some of the best people in the industry.

If you want to know what to expect from a RecordPoint application process, here: https://www.recordpoint.com/careers

No recruiters please, we've got this one covered.

You will need to pass a police background check to be eligible for employment at RecordPoint.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.