AgentCore Platform Engineer

Appnovation is the AI Product Company. Headquartered in Vancouver, Canada, with teams around the world, Appnovation builds AI products, delivers enterprise AI and digital solutions, and co-invests with clients to bring new AI products to market.

Appnovation is the AI Product Company. Headquartered in Vancouver, Canada, with teams around the world, Appnovation builds AI products, delivers enterprise AI and digital solutions, and co-invests with clients to bring new AI products to market.

Open source has been the foundation of Appnovation's work since 2007, and it remains the foundation underneath every AI product the company builds today. Appnovation teams work with organizations in highly regulated industries, including global leaders such as Pfizer, Google and AstraZeneca, to help them adopt AI they can govern and own.

We’re hiring Agent Core Platform Engineers to build the agent-facing layer of the platform. That covers how agents run, remember and work together, and how they safely reach the internal systems the business already runs on. Each engineer will have a main focus in one of the two areas below and work closely across both. What you build becomes the template other teams copy, so quality and clarity matter as much as speed.

This is a named-team engagement, so the person we propose is the person who starts.

We know production experience with Bedrock Agent Core is rare. We care more about strong AWS fundamentals and real hands-on work with agent frameworks than about whether you’ve used Agent Core by name. If that’s you, please apply.

• Agent Runtime & Orchestration:
  Build runtime patterns, memory strategies, orchestration and multi-agent handoffs, and the reference implementations other teams copy.
• Gateway, Tools & Integrations:
  Turn internal APIs, Lambdas and legacy systems into governed tools through Agent Core Gateway, including MCP server development.

• Runtime Patterns:
  Define how agents are structured, packaged and run on Agent Core Runtime, including sessions, state, error handling and timeouts.
• Memory Strategies:
  Design short-term and long-term memory patterns using Agent Core Memory, and guide teams on when to use which.
• Orchestration and Multi-Agent Handoffs:
  Build patterns for planning, tool use, supervisor/worker setups and handoffs between agents, with clear boundaries and fallbacks.
• Tool Onboarding:
  Expose internal REST APIs, Lambda functions and legacy services as agent tools through Agent Core Gateway, using OpenAPI specs and Lambda targets.
• MCP Server Development:
  Design and build Model Context Protocol (MCP) servers for systems that need custom integration, with clean tool definitions and schemas.
• Governance and Access:
  Set up authentication and authorization for agents and tools (Agent Core Identity, OAuth, IAM) so agents only reach what they’re allowed to.
• Legacy Integration:
  Work with system owners to wrap older or on-premises systems safely, handling rate limits, data mapping and error cases.
• Reference Implementations and Standards:
  Build production-quality reference agents, starter kits and a repeatable process for adding, versioning and reviewing tools.
• Evaluation and Guardrails:
  Build in evaluation, Bedrock Guardrails, contract tests and safety checks so agents and tools behave predictably before going live.
• Enablement:
  Run walkthroughs, write docs and support the teams onboarding to the platform.

• 5+ years of software engineering experience, with strong Python (Type Script is a plus).
• Hands-on experience building LLM agents with at least one agent framework (e.g., Strands Agents, Lang Graph, Lang Chain, CrewAI, OpenAI Agents SDK, Llama Index).
• Practical experience with LLM tool/function calling and handling…