AI Orchestration Engineer
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
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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
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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
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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
Integration & Platform
Quality & Best Practices
Collaboration & Enablement
Why RecordPoint:
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