Design and build agentic AI platform components including agents, tools, workflows, and integrations with internal systems
Job Summary
Design and build agentic AI platform components including agents, tools, workflows, and integrations with internal systems.
Implement guardrails, safety checks, and policy controls across prompts, tool usage, access, and output filtering to ensure safe and compliant operation.
We are committed to a more equitable future and to helping our customers find new, sustainable ways of doing business.
Matching Summary
Design and build agentic AI platform components including agents, tools, workflows, and integrations with internal systems.
Skills & Requirements
Must-have
Python software engineering fundamentals
LLM/GenAI fundamentals
Cloud computing platforms (AWS/Azure/GCP)
Observability tools (OpenTelemetry, Prometheus)
Data pipelines and frameworks (Pandas, Spark, dbt)
Reliability, performance, cost trade-offs
Nice-to-have
Agentic AI frameworks (LangChain, LangGraph)
LLM observability frameworks
Production LLM/agent systems experience
Think like platform builders
Lead with observability
Ship safely with guardrails
Learn through experimentation
Key Requirements
3-6 years of experience
Bachelor's or Master's degree
CI/CD, code reviews, modern engineering best practices