AgentCore Platform Engineer: Build Safe, Scalable AI Agents

Appnovation; Toronto; On-site; CAD 120,000 - 150,000; Full time

Benefits offered by this job

Diversity & Inclusion

Accommodations available

Job summary

Appnovation Technologies in Canada is hiring AgentCore Platform Engineers to build the agent-facing layer of the platform. You will define runtime patterns, memory strategies, and orchestration for multi-agent systems, collaborating with teams to ensure scalable, predictable tools across internal APIs and legacy services.

The role emphasizes strong Python, hands-on AWS, and experience with at least one agent framework.

Qualifications

• 5+ years of software engineering experience with strong Python.
• Hands-on experience building LLM agents with at least one agent framework (e.g., Strands Agents, LangGraph, LangChain, CrewAI, OpenAI Agents SDK, LlamaIndex).
• Practical experience with LLM tool/function calling and handling model output.
• Strong AWS fundamentals: IAM, Lambda, API Gateway, containers, DynamoDB/S3, VPC connectivity and Secrets Manager.
• Experience designing and consuming REST APIs and OpenAPI specs, and auth patterns such as OAuth 2.0 and OIDC.
• Understanding of agent memory, retrieval (RAG) and context management trade-offs.
• Deep hands-on strength in at least one focus area, and working knowledge of the other.
• Clean, well-tested code that other engineers will read and reuse.
• Clear communication and comfortable teaching patterns to other teams.

Responsibilities

• Runtime Patterns: Define how agents are structured, packaged and run on AgentCore Runtime, including sessions, state, error handling and timeouts.
• Memory Strategies: Design short-term and long-term memory patterns using AgentCore 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 AgentCore 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 (AgentCore 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 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.

Skills

Python

TypeScript

LLM agents

Agent frameworks

AWS fundamentals

REST APIs/OpenAPI/OAuth

Memory/RAG/Context

Communication/teaching

Security & access control

Tools

Strands Agents

LangGraph

LangChain

CrewAI

OpenAI Agents SDK

LlamaIndex

Job description

Appnovation Technologies in Canada is hiring AgentCore Platform Engineers to build the agent-facing layer of the platform. You will define runtime patterns, memory strategies, and orchestration for multi-agent systems, collaborating with teams to ensure scalable, predictable tools across internal APIs and legacy services.

The role emphasizes strong Python, hands-on AWS, and experience with at least one agent framework.