Senior Backend Engineer/ Architect

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.
• 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