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:
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 & PlatformOwn 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 PracticesChampion 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 & EnablementWork 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
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What We Do
RecordPoint is the Data Trust Platform, bringing calm to the chaotic world of data. We’re letting organizations discover, govern, and control their data for tighter compliance, more efficiency, and less risk. Businesses can trust that their data is accurate, private, and safe everywhere, all the time, for consistent confidence that’s backed by RecordPoint expertise and support. With RecordPoint, you can: - Turn data chaos into data trust. Automatically manage all your data in place – wherever it lives – so you can make informed decisions that earn customer trust and give you a competitive advantage. - Take data management off your daily to-do list. Know that your data is managed efficiently and consistently at scale with a platform that molds to how you do things (not the other way around). - Work with an expert partner who gets your challenges. Trust starts with knowing deep down that your data is organized, secure and ready for work – and our whole team is here to support you along the way. The customizable platform is comprised of records management and data lineage tools that work together to give you full context throughout the data lifecycle. Know what data you have and where it is, with continuous data inventory and data categorization. Make better data migration and minimization decisions, and safeguard for privacy, security and governance.
