Senior Applied AI Engineer for Agentic Systems
Opportunity Summary
You will design and ship production-grade AI agents that automate multi-step workflows for internal stakeholders, using LangGraph for orchestration and tool-based reasoning. The role includes deploying, running, and scaling agents on Amazon Bedrock AgentCore, with attention to security, reliability, and cost tracking as usage grows. You will work closely with product-adjacent teams to identify high-leverage processes, translate them into agent behavior, and iterate based on real operational feedback. This is an engineering role focused on applied agent reliability, observability, and measurable workflow automation.
Ideal Candidate
A senior engineer who has shipped applied LLM or agent systems, with strong orchestration and reliability skills. You can partner with business stakeholders to convert workflows into well-instrumented agent actions that deliver measurable outcomes.
Project Insights
- Look for opportunities to quantify impact, like time saved or cycle-time reduction
- Prepare examples of agent reliability work, including guardrails and fallbacks
- Emphasize collaboration with non-technical teams to define workflows and acceptance criteria
- Show how you instrumented agents for observability and cost monitoring
How to Prepare
- Prepare 1 to 2 case studies of agent production deployments, including architecture and outcomes
- Bring a short plan for identifying a high-leverage workflow and validating agent accuracy
- Be ready to discuss cost controls, memory strategy, and safety or permissioning design
Typical Challenges
- Turning messy, multi-step workflows into robust agent flows
- Maintaining security and identity boundaries for agent actions
- Controlling runtime cost and performance as usage scales
- Debugging agent behavior using logs and traces
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Project Details
Skills & Requirements
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