Aurus.ai is seeking a highly experienced MuleSoft Integration Architect to serve as the technical authority for our Integration Practice. This is a senior leadership role at the top of the integration stack — you will own enterprise API architecture, govern the Anypoint Platform, lead integration design reviews, and be the final technical escalation point for all MuleSoft integration issues across client engagements in regulated healthcare and life sciences environments.
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Core Responsibilities
- Own and govern the end-to-end MuleSoft integration architecture across all MSP client environments
- Design API-led connectivity frameworks (Experience, Process, System API layers) for enterprise healthcare and life sciences system integrations
- Define and enforce integration standards, design patterns, error handling frameworks, and DataWeave coding conventions across the delivery team
- Lead quarterly architecture health reviews — assess system performance, integration latency, data quality, and recommend optimization roadmaps
- Partner with On Time Edge and client stakeholders to translate evolving business requirements into integration architecture changes
- Review and approve all major integration designs, schema changes, and platform configuration updates before deployment
- Drive continuous improvement initiatives — identify automation, performance, and reliability improvement opportunities across the integration layer
- Establish and maintain architecture documentation, integration maps, and system topology diagrams per client
- Ensure all integration architectures comply with GxP, 21 CFR Part 11, HIPAA, and applicable healthcare data governance requirements
- Mentor and technically lead MuleSoft Integration Leads and Developers on the MSP team
- Collaborate with Aurus.ai’s DoKrunch platform team to integrate unstructured document data into planning system feeds
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MuleSoft & Technical Requirements
- 6+ years hands-on MuleSoft Anypoint Platform experience — must have designed and governed production integration environments at enterprise scale
- Deep expertise in API-led connectivity design — Experience, Process, and System API layer architecture
- Advanced DataWeave 2.0 proficiency — complex transformations, custom functions, streaming data handling
- Anypoint Platform governance: API Manager, Exchange, Runtime Manager, Visualizer, Anypoint MQ
- CloudHub and on-premise/hybrid Mule Runtime deployment and management
- Integration patterns: event-driven architecture, pub/sub, batch processing, idempotency, dead-letter queuing
- Strong working knowledge of SAP and/or Oracle ERP integration patterns via MuleSoft
- Experience integrating with MES platforms and manufacturing execution systems
- CI/CD pipeline design for MuleSoft — Maven, Jenkins, GitHub Actions, or equivalent
- MuleSoft Certified Integration Architect credential required; Platform Architect preferred
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Healthcare & Regulated Industry Domain
- Direct experience delivering integrations in pharmaceutical, biotech, or medical device environments
- Working knowledge of 21 CFR Part 11, GxP, and HIPAA requirements for regulated system integrations
- Experience integrating with ERP platforms (SAP, Oracle) and enterprise data systems in healthcare settings
- HL7 / FHIR familiarity for healthcare data interchange — a strong differentiator
- Understanding of healthcare operational data: patient records, clinical workflows, financial transactions, compliance reporting
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Leadership & Collaboration
- Proven ability to lead technical teams in a managed services or consulting delivery environment
- Comfortable presenting architecture recommendations to senior client stakeholders and executive sponsors
- Experience operating in a client-facing MSP or professional services model — not just internal IT
- Strong written and verbal communication — able to translate complex technical architecture into business language
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What Success Looks Like — Year One
- Architecture documentation established and current for all MSP client environments
- Integration performance benchmarks defined, baselined, and trending in the right direction
- Zero critical integration failures attributable to architectural deficiencies
- Quarterly architecture reviews delivered on schedule with documented improvement roadmaps
- MSP delivery team operating to consistent architecture standards with measurable improvement in code quality
Aurus.ai is seeking a MuleSoft Integration Lead / Senior Developer to bridge architecture and execution within our MSP delivery team. This is a hands-on technical leadership role — you will translate the Integration Architect’s design decisions into working integration solutions, own sprint delivery, lead code reviews, and serve as the senior technical voice on the development floor. You are an experienced MuleSoft developer who has grown into owning delivery. You know how to build production-grade APIs and flows, you understand what good looks like, and you can bring junior developers up to that standard. You are equally comfortable in a design session with the architect and in a debugging session with a developer — and you make both better.
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Core Responsibilities
- Translate integration architecture designs into detailed technical specifications and sprint-ready user stories
- Lead development sprints — own delivery commitments, remove blockers, and ensure quality gates are met before deployment
- Conduct thorough code reviews across all integration deliverables — enforce DataWeave standards, error handling patterns, and API design conventions
- Own CI/CD pipeline execution for MuleSoft deployments across CloudHub and on-premise Mule runtimes
- Develop and maintain complex MuleSoft integration flows connecting ERP, MES, clinical, and enterprise systems in healthcare environments
- Build and maintain reusable integration components, connector configurations, and DataWeave libraries for the MSP platform
- Lead incident response for P1/P2 integration failures — triage, root cause analysis, fix, and post-mortem documentation
- Maintain integration documentation: flow diagrams, API specifications, data mapping documents, and runbooks
- Collaborate with the Integration Architect on architecture evolution and performance optimization initiatives
- Mentor and upskill MuleSoft Integration Developers — pair programming, technical coaching, knowledge transfer
- Ensure all development practices comply with GxP change control, validation protocols, and audit trail requirements
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MuleSoft & Technical Requirements
- 5+ years hands-on MuleSoft development experience — must include production delivery in enterprise environments
- Advanced DataWeave 2.0 — must be able to write complex transformations, custom modules, and streaming processors from scratch
- API design and governance: RAML / OAS specification, API Manager policies, SLA tiers, client management
- Anypoint Platform: Runtime Manager, Exchange publishing, MQ configuration, Visualizer
- CloudHub deployment, worker sizing, alert configuration, and log management
- On-premise/hybrid Mule Runtime installation, clustering, and performance tuning
- Integration patterns: request-reply, async messaging, batch processing, scatter-gather, saga pattern
- CI/CD tools: Maven, Jenkins, GitHub Actions, or Anypoint CLI — must have built and owned a deployment pipeline
- Error handling strategy design: dead letter queues, retry policies, circuit breakers, alert routing
- MuleSoft Certified Developer — Level 2 required; Integration Architect certification a strong plus
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Healthcare & Supply Chain Domain
- Experience delivering integrations in a regulated industry — healthcare, pharma, or medical device strongly preferred
- Working knowledge of 21 CFR Part 11 requirements for electronic records and signatures in integrated systems
- Familiarity with GxP change control — understands that a config change in a pharma environment is not the same as a config change anywhere else
- Experience integrating with SAP or Oracle ERP systems via MuleSoft — required
- Familiarity with healthcare data standards (HL7, FHIR) and operational data flows — preferred
- Experience integrating clinical, financial, or operational healthcare systems — a significant differentiator
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Leadership & Collaboration
- Proven track record leading sprint delivery in an Agile/Scrum environment
- Experience in a managed services, professional services, or consulting delivery model
- Able to communicate technical status, risks, and blockers clearly to both technical and non-technical stakeholders
- Strong mentorship instinct — you actively make the developers around you better
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What Success Looks Like — Year One
- Sprint velocity stable and delivery commitments consistently met across MSP client portfolio
- Zero rework from architecture non-compliance in code reviews
- Integration Developer team operating to documented standards with measurable improvement in first-time-right deployments
- P1/P2 incident mean time to resolution (MTTR) at or below SLA targets
- Full CI/CD pipeline operational for all client environments with documented deployment runbooks
Aurus.ai is seeking a focused, experienced MuleSoft Integration Developer to join our Integration Practice. This is a core execution role — you will build, test, and deploy MuleSoft integration flows connecting ERP, clinical, financial, and enterprise systems in regulated healthcare and life sciences environments. You are not a generalist who has used MuleSoft on a couple of projects. You are someone who has spent 4–5 years doing this — you know DataWeave inside out, you understand API-led connectivity, and you have delivered production integrations that actually run. You work well within a structured delivery team, you take direction from the Integration Lead, and you bring craft and precision to everything you build.
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Core Responsibilities
- Develop MuleSoft integration flows, APIs, and connectors as specified in architecture and technical design documents
- Write clean, well-structured DataWeave 2.0 transformations for complex data mapping between ERP, clinical, financial, and enterprise healthcare systems
- Build and maintain System API, Process API, and Experience API layers per API-led connectivity standards
- Implement error handling, retry logic, logging, and alerting per established MSP patterns and runbooks
- Execute unit testing and integration testing for all delivered flows — document test cases and results
- Deploy integrations through the CI/CD pipeline to CloudHub and on-premise Mule runtimes
- Monitor integration health dashboards — respond to alerts, triage incidents, and escalate per severity protocols
- Maintain technical documentation: data mapping specifications, flow diagrams, API contracts, and deployment notes
- Participate in code reviews — apply feedback and contribute review comments on peer deliverables
- Adhere strictly to GxP change control procedures — all changes documented, reviewed, and approved before deployment in regulated client environments
- Support the Integration Lead during P1/P2 incident response — own assigned resolution tasks
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MuleSoft & Technical Requirements
- 4–5 years hands-on MuleSoft Anypoint Platform development — this is a hard floor, not a preference
- DataWeave 2.0 proficiency — must be able to write complex transformations independently without relying on auto-generated code (array manipulation, object restructuring, conditional logic, custom functions)
- Handling large payloads, streaming, and batch-friendly data transformation patterns
- API design fundamentals: RAML or OAS specification writing, request/response modeling, status code handling
- Anypoint Platform: Runtime Manager, Exchange, API Manager basics, Anypoint MQ
- CloudHub deployment: application deployment, worker configuration, alert setup, log retrieval
- Connector usage and configuration: HTTP, Database, SFTP, SAP, Salesforce, JMS, Kafka
- Error handling implementation: try-catch scopes, on-error propagate vs continue, dead letter queue patterns
- CI/CD pipeline participation: Maven builds, deployment scripts, environment variable management
- Source control discipline: Git branching, pull requests, commit standards
- MuleSoft Certified Developer — Level 1 required; Level 2 strongly preferred
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Healthcare & Supply Chain Domain
- Experience working in a regulated industry environment — healthcare, pharma, or life sciences preferred
- Understanding of what 21 CFR Part 11 and GxP mean for how you write code, manage changes, and document your work
- Familiarity with ERP integration patterns — SAP IDocs, BAPIs, or Oracle APIs via MuleSoft
- Exposure to supply chain data concepts: production orders, BOMs, inventory records, demand planning data — preferred
- Experience with healthcare data standards (HL7, FHIR, EDI) — a differentiator but not required
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Working Style & Team Fit
- Structured and disciplined — you follow standards and patterns, and you understand why they exist in a regulated environment
- Detail-oriented — in healthcare supply chain integrations, a wrong data mapping is not just a bug, it can be a compliance event
- Collaborative — you communicate blockers early, participate actively in standups, and don’t go dark when you’re stuck
- Growth-oriented — you are actively working toward Level 2 certification or architect-level capability if you don’t already have it
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What Success Looks Like — Year One
- Delivering assigned integration stories on time and to spec with minimal rework
- Zero compliance incidents attributable to undocumented changes or deviation from change control procedures
- DataWeave and flow quality consistently passing code review without major revision cycles
- Independently handling L1/L2 monitoring and incident triage with appropriate escalation judgment
- Progressing toward MuleSoft Certified Developer Level 2 if not already certified
You’re a relationship builder first. A deal maker. A rainmaker. You walk into a room with the most powerful CEOs and C-suite executives, and they lean in. You understand what moves them, what keeps them up at night, and you know how to build trust that leads to transformational partnerships. You see the map, understand the vision, and know how to close deals that reshape markets. We’ve built something different — and we need someone who can take it to the people who matter most.
🚀 What We’ve Built
- Aurus.ai powers document intelligence at scale without the hallucinations that plague the industry
- Our unique recipe combines retrieval-augmented generation, agentic architecture, and deterministic AI models to deliver near-zero hallucination rates
- Well-positioned with a clear path to exit — the equity here isn’t a token, it’s a real stake in something built to scale
🎯 The Markets We’re Moving
- RE/Mortgage Brokerage firms — where document intelligence eliminates friction across the origination lifecycle
- Supply chain finance — where AI-native document processing unlocks speed and accuracy at enterprise scale
- Healthcare — two trillion-dollar opportunities where our technology unlocks remarkable commercial value for enterprise clients
- You will build partnerships that matter — ones that reshape how industries operate
✅ Who We’re Looking For
- A proven rainmaker with direct access to C-suite and enterprise decision-makers in target verticals
- Tired of selling what you’re selling today — you want to be associated with a rocket ship that’s AI-native, AI-enabled, and built for real commercial impact
- Someone who believes deeply in their own ability to bring transformational relationships to the table
- Comfortable with risk and motivated by ownership — you have an appetite for upside, not just a paycheck
- A natural fit for a founder-led team that moves fast, values trust, and rewards results
💡 Compensation & Terms
- Equity compensation package — this is not a salaried role and is not structured for those seeking one
- Real stake in a company built to scale, with a clear path should we choose to exit
- If you agree to these terms and believe in your ability to move markets, we are ready to move with you
Aurus.ai is seeking an exceptional Chief Technology Officer to lead our technical vision, architecture, and engineering execution. As CTO, you'll drive innovation in AI/ML systems, scale our platform to serve thousands of enterprise customers, and build a world-class engineering organization. This is a founding-level role reporting directly to the CEO with significant equity and strategic influence.
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What You'll Do
- Define and execute technical strategy and product roadmap aligned with business objectives and market needs
- Lead architecture design for scalable, secure, enterprise-grade AI/ML systems processing millions of documents and transactions
- Build, mentor, and manage high-performing engineering team (currently 10+ engineers, scaling to 30+)
- Drive innovation in document intelligence, reconciliation engines, NLP, and computer vision technologies
- Establish engineering best practices, DevOps culture, CI/CD pipelines, and quality assurance processes
- Partner with CEO and product leadership on strategic planning, fundraising, and customer technical engagements
- Ensure security, compliance (SOC 2, GDPR, HIPAA), and reliability standards for enterprise customers
- Make build vs buy decisions, evaluate technology partnerships, and manage technical vendor relationships
- Represent Aurus.ai technically at conferences, customer meetings, and in thought leadership content
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Required Qualifications
- 15+ years software engineering experience with 8+ years in technical leadership roles (VP Engineering, CTO, or equivalent)
- 5+ years hands-on experience with AI/ML systems, particularly NLP, computer vision, or document intelligence
- Proven track record scaling engineering teams from 10-50+ engineers in high-growth startup environment
- Deep expertise in cloud infrastructure (AWS/Azure/GCP), microservices architecture, and distributed systems
- Experience architecting and deploying enterprise SaaS products serving Fortune 500 customers
- Strong understanding of security, compliance (SOC 2, GDPR), and enterprise requirements
- Excellent communication skills with ability to translate technical concepts for non-technical stakeholders
- Track record of successful product launches and driving technical innovation
- Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred
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Nice to Have
- PhD in Computer Science, AI/ML, or related field from top-tier research institution
- Experience as CTO at successful venture-backed startup (Series A-C or beyond)
- Published research in AI/ML conferences (NeurIPS, ICML, CVPR) or peer-reviewed journals
- Domain expertise in FinTech, financial services, or supply chain/logistics systems
- Previous experience with document processing, OCR, or reconciliation systems
- Network in AI/ML community and ability to attract top engineering talent
- Experience with fundraising, technical due diligence, and board-level communication
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What Success Looks Like (First 12 Months)
- Ship 3+ major product releases with measurable customer impact and satisfaction scores >4.5/5
- Scale platform to handle 10M+ documents/month with 99.9% uptime SLA
- Grow engineering team from 10 to 25+ world-class engineers across ML, backend, and DevOps
- Achieve SOC 2 Type II certification and complete 5+ enterprise security audits
- Establish technical advisory board and speaking presence at 3+ industry conferences
- Reduce technical debt by 40% while increasing development velocity by 30%
We are looking for a hands-on Technical Architect who can design and build a workflow-driven SaaS platform from the ground up. This is a builder role requiring deep involvement in architecture, coding, and system design. You will translate complex business workflows into deterministic, auditable systems that power enterprise document intelligence at scale.
🎯 What You'll Do
- Design end-to-end workflow orchestration and approval chains across the DoKrunch platform
- Model workflows using BPMN tools such as Camunda
- Define system architecture across ingestion, AI processing, validation, and ERP integration layers
- Design event-driven and asynchronous systems using queues and worker frameworks
- Develop data models for documents, workflows, approvals, and audit logs
- Write production-grade backend code and actively review engineering outputs
- Build reusable workflow, rule engine, and approval system components
✅ Required Qualifications
- Strong backend engineering experience in Python with Django or FastAPI
- Hands-on experience with workflow engines — Camunda preferred
- Solid knowledge of async processing frameworks such as Celery and message queues
- Proven experience building REST APIs, relational databases, and cloud-deployed systems
- Demonstrated ability to architect distributed, scalable SaaS systems
🧠 Mindset & Culture Fit
- Builder-first, execution-focused — you ship, not just design
- Comfortable moving from concept to deployment with minimal process overhead
- Thrives in ambiguity and takes ownership of outcomes end-to-end
We are looking for a strong backend developer to build and extend a workflow-driven SaaS system at Aurus.ai. You will implement workflow logic, APIs, and processing pipelines while taking ownership of the full feature lifecycle — from design through deployment, monitoring, and iteration.
🎯 What You'll Do
- Implement workflow execution logic and approval flows across the DoKrunch platform
- Develop APIs for document ingestion, workflow triggering, and real-time status tracking
- Build validation, reconciliation, and exception handling services
- Implement async processing pipelines using Celery or equivalent frameworks
- Integrate with external systems, ERP platforms, and AI services
✅ Required Qualifications
- Strong Python development skills using Django or FastAPI
- Solid experience designing and consuming REST APIs with relational databases
- Working knowledge of async processing patterns and system-level workflows
- Comfort with cloud deployment, CI/CD pipelines, and containerised environments
⭐ Engineering Expectations
- Write clean, well-documented, and maintainable code
- Implement logging, monitoring, and automated testing as first-class concerns
- Take end-to-end ownership of features from design to production