About the Role
You’ll design and build systems that:
+ Ingest and process high-volume, multi-source data across enterprise systems
+ Validate stateful business workflows spanning loosely coupled services
+ Reconcile data across sources with consistency and correctness guarantees
+ Build event-driven, asynchronous pipelines for real-time and batch validation
+ Integrate with complex external systems (e.g., SAP, APIs, data warehouses)
You’ll also work on:
+ Deploying LLM-powered agents into production workflows
+ Designing systems to evaluate, monitor, and improve agent behavior over time
+ Building safeguards for correctness, reliability, and failure handling
+ Ensuring non-deterministic AI outputs meet deterministic system requirements
You’ll own problems end-to-end: design → build → operate.
Tech (evolving):
+ Languages: Python, Go, Node.js
+ Data: Snowflake, Databricks, Postgres
+ Architecture: distributed systems, event-driven pipelines
+ Infra: containers + cloud platforms (Kubernetes / ECS / Cloud Run)
+ AI: LLM-based agents with evaluation, monitoring, and control systems
Why You'll Love Working at Shamrock:
+ Impactful Work: You will be solving a major pain point for the largest companies in the world.
+ Cutting-Edge Technology: Get hands-on experience with the latest in AI and LLM technology.
+ World-Class Team: Work alongside and learn from a team of seasoned entrepreneurs and industry experts.
+ Early-Stage Opportunity: Join a fast-growing startup and have a significant impact on our product and culture.
Requirements
Production builder: you’ve shipped LLM-powered features real users depend on and debugged them when they broke
LLM practitioner: you understand hallucinations, retrieval failures, context limits, and what it takes to make agents deterministic enough for enterprise use
Systems thinker: you design for latency, failure modes, retry logic, and observability before features
Enterprise-aware: data residency, compliance, audit trails, and deterministic guardrails are first-class design constraints for you
Background That Maps Well:
3+ years in AI/ML or backend engineering with strong AI exposure
Hands-on production experience with LLM APIs (Anthropic, OpenAI, Cohere)
Experience designing evaluation frameworks: automated evals, regression tests, or LLM-as-judge pipelines
Strong Python; experience with LangChain, LlamaIndex, or similar agentic frameworks
Familiarity with RAG architectures: chunking, embedding models, vector DBs, retrieval quality
About the Company
Shamrock is building an agentic assurance platform for large enterprises, helping companies safely deploy AI agents across critical business processes. Its platform creates an Enterprise Business Knowledge Graph connecting business processes, systems, data and configurations, giving AI agents the trusted context they need to operate reliably. The company's initial wedge is agentic test lifecycle automation for large ERP transformations, including SAP S/4HANA migrations. By continuously testing and validating enterprise processes, the platform builds an increasingly accurate and continuously updated representation of how the business operates - creating a foundation for data observability and autonomous business process automation.
We build the layer that:
+ Prevents inconsistent data entry
+ Detects inconsistencies across systems
+ Validates business logic in real time
+ Enables AI-driven workflows to run safely and reliably
We’re already live at a Fortune 10 Pharma Distributor and Fortune 20 AI Manufacturer. Our agents automate processes that power hundreds of billions of dollars in revenue.