Senior Machine Learning Engineer, AI Agent Platform
Core
Design, develop, and deploy high-performance Generative AI systems and platforms powering virtual assistants for internal associates and policyholders.
Role type
Senior IC Machine Learning Engineer (AI Agent Platform)
Builds
Multi-tenant services for building, testing, simulation, deployment, and hosting of LLM-based AI agents.
Domain
Insurance / Generative AI / AI Agents
Deliverable
production ML models
Required skills
Python, Java, C++, C#, LLM platform design, open-source/cloud-agnostic components, end-to-end software development lifecycles, AI/ML model evaluation and observability, GPU infrastructure management
Preferred skills
Conversational experiences and agentic workflows, AI agent harness infrastructure, AI agent skill systems, multi-agent orchestration frameworks, LLM observability platforms, AI agent guardrails
Technologies
OpenSearch, Milvus, Snowflake, Kafka, PostgreSQL, Cassandra, Spark, Ray, Airflow, Temporal, Redis/Valkey, LangGraph, AutoGen, CrewAI, LangSmith, Langfuse
Responsibilities
Develop services for authoring, publishing, discovering, and versioning reusable skill packages; Build and maintain AI agent harness components for tool dispatch and context management; Implement context engineering systems for memory management and RAG pipelines; Implement guardrail components for input validation and output verification; Collaborate with cross-functional teams to define project scope and prioritize backlogs; Mentor junior engineers via code reviews and design sessions
Seniority
Senior, hands-on IC
