Job Description
Role: Principal AI Engineer – Agentic Systems & LLM Platforms (W2 Only)
Duration: 6+ Months
Location: Irvine, CA (Hybrid)
Must Have Skills:
- Strong programming in Python (Java/Go/TypeScript is a plus)
- Hands-on experience with LLM applications in production (tool calling, structured outputs, RAG, evaluation)
- Experience with agentic systems / multi-agent workflows
- Strong in distributed systems & APIs (REST, RPC, Kafka, SQS, Pub/Sub)
- Knowledge of vector databases, hybrid search, knowledge graphs
- Cloud experience ( AWS/Azure/GCP ) + Docker, Kubernetes
- Solid data engineering fundamentals (SQL, data modeling)
- Experience with LLM evaluation (A/B testing, adversarial testing, eval frameworks)
- Familiarity with Codex / AI coding assistants
Core Responsibilities:
- Design and build agentic AI systems (planner-executor, multi-agent orchestration)
- Develop RAG pipelines for enterprise data (policies, rules, documents)
- Integrate LLMs with ML models (fraud, risk, decisioning systems)
- Implement AI safety & guardrails (PII, prompt injection, auditability, HITL)
- Drive LLMOps/MLOps (CI/CD, monitoring, telemetry, evaluation pipelines)
- Collaborate with cross-functional teams and mentor engineers