Senior ERP Application Engineer at Lime driving development and customization of NetSuite ERP ecosystem. Collaborating with teams to deliver scalable technical solutions and enhance business processes.
About the role
- Senior Lead AI Application Engineer at RBC leading full-stack delivery of secure, cloud-native microservices embedding pragmatic AI. Designing and building agentic applications with multi-agent systems and DevSecOps practices.
Responsibilities
- Design, build, and operate full‑stack agentic applications: React/TypeScript front‑ends and secure back‑end services (Node.js/Express or Python/FastAPI or Java/Spring Boot) exposing REST/gRPC/GraphQL APIs; deliver UIs and APIs that orchestrate agent workflows end‑to‑end
- Engineer multi‑agent systems (plan/act/reflect, tool use, delegation) with robust state and coordination across services; implement failure handling, retries, and idempotency using frameworks such as LangGraph or AutoGen
- Deliver CI/CD and platform automation: Docker images, GitHub Actions/Jenkins/Argo CD, IaC (Terraform/Helm), Kubernetes deployments, release/rollback and change‑control aligned to RBC standards
- Implement context and data layers for agents: connectors (incl. MCP) to enterprise systems, streaming/eventing (Kafka), caching (Redis), vector search (pgvector/Milvus/Pinecone), and schema/PII controls to keep actions grounded and compliant
- Build reusable SDKs, APIs, and templates for agent capabilities (inference, tools, RAG) with clear interfaces, code samples, and internal packages to accelerate teams
- Establish runtime controls and observability: OpenTelemetry traces/metrics/logs, Grafana/Prometheus dashboards, feature flags, rate limits/quotas, circuit breakers, and SLOs for latency, quality, and cost
- Enforce DevSecOps and zero‑trust patterns: OAuth2/OIDC, mTLS, secrets (Vault/KMS), SAST/DAST, threat modeling; ensure privacy, data residency, and compliant deployments (NIST, SOX/ITGC) across AWS/Azure/on‑prem GPU
- Partner across Security, Risk, and Platform; mentor engineers; influence reference architectures, standards, and documentation; drive design reviews for agentic services
Requirements
- Bachelors degree in Software Engineering, Computer Science or equivalent practical experience
- 5+ years building production full‑stack systems: React/TypeScript; back‑end with Node.js/Express, Java/Spring Boot, or Python/FastAPI; strong API design (REST/gRPC/GraphQL) and event‑driven patterns
- Hands‑on multi‑agent engineering: inter‑agent communication, shared state, tool adapters, orchestration with LangGraph/CrewAI/AutoGen; RAG pipelines; vector DBs (pgvector/Milvus/Pinecone/FAISS); MCP‑based secure connectors
- Cloud‑native delivery on Kubernetes with CI/CD (Docker, GitHub Actions/Jenkins/Argo CD), automated testing (unit/integration/contract/E2E), and IaC (Terraform/Helm); experience with API gateways (Apigee/Kong) and service mesh (Istio/Linkerd)
- Data and integration: SQL (Snowflake/Postgres), NoSQL (MongoDB), streams (Kafka), caching (Redis); integrating with enterprise systems (ServiceNow IRM/GRC) using resilient, secure patterns
- DevSecOps and observability: OAuth2/OIDC, mTLS, Vault/KMS, SAST/DAST; OpenTelemetry, Grafana/Prometheus; operating in regulated environments with NIST/SOX/ITGC controls
Benefits
- A comprehensive Total Rewards Program including bonuses and flexible benefits
- Competitive compensation
- Commissions and stock where applicable
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high-performing team
- Flexible work/life balance options
- Opportunities to do challenging innovation work and potential for patentable solutions
- Opportunities to take on progressively greater accountabilities
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