Senior Agentic AI Engineer

We are seeking a Senior Agentic AI Engineer to design, build, and operate autonomous agent systems at scale, driving architecture decisions across runtime, memory, identity, tools, and observability for production-grade AI deployments.

Responsibilities

Design the architecture for building, deploying, and operating autonomous agents, covering runtime, memory, identity, tools, and observability Lead the use of AWS Bedrock Agent. Core and the Strands Agents SDK across agent harnesses and production deployments Design long-term memory and context-management systems that hold up across multi-step engagements Build and curate MCP servers and tool integrations the agents call out to, including recon, scanners, exploit primitives, and custom internal services Drive reliability, cost, and latency of agent reasoning Set the bar for evals, tracing, and guardrails Requirements 3+ years of experience building production software, including 1+ year shipping LLM-based agents to production Proficiency in Python and hands-on experience with an agentic framework such as Strands, Lang.

Graph, Claude Agent SDK, OpenAI Agents SDK, or CrewAI Familiarity with AWS Bedrock Agent. Core primitives, including Runtime, Memory, Identity, Gateway, and Observability, or proven ability to ramp up quickly Understanding of MCP, tool use, prompt/context engineering, memory architectures, and agent evaluation Capability to design for production, including observability, guardrails, retries, cost control, and security boundaries English proficiency at B2 level or higher Nice to have Background in application security, web pentesting, or red-teaming Experience with sandboxed code execution, browser agents, or autonomous tool orchestration