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About the Role
Appnovation is seeking AgentCore Platform Engineers to develop the agent-facing layer of a platform, focusing on how agents operate, retain information, collaborate, and securely access internal business systems. Your work will set the standard for other teams, emphasizing quality, clarity, and speed. This is a direct-hire position.
Responsibilities
- Define agent structure, packaging, and execution on AgentCore Runtime, including session management, state handling, error management, and timeouts.
- Design short-term and long-term memory patterns using AgentCore Memory and advise teams on appropriate usage.
- Develop patterns for agent planning, tool utilization, supervisor/worker configurations, and inter-agent handoffs with defined boundaries and fallback mechanisms.
- Expose internal REST APIs, Lambda functions, and legacy services as agent tools via AgentCore Gateway, utilizing OpenAPI specifications and Lambda targets.
- Design and build Model Context Protocol (MCP) servers for custom integrations, including clear tool definitions and schemas.
- Implement authentication and authorization for agents and tools (AgentCore Identity, OAuth, IAM) to enforce access controls.
- Collaborate with system owners to securely integrate older or on-premises systems, managing rate limits, data mapping, and error scenarios.
- Create production-quality reference agents, starter kits, and a standardized process for tool addition, versioning, and review.
- Integrate evaluation, Bedrock Guardrails, contract testing, and safety checks to ensure predictable agent and tool behavior.
- Conduct walkthroughs, create documentation, and provide support to teams adopting the platform.
Requirements
- 5+ years of software engineering experience.
- Strong proficiency in Python; TypeScript is a plus.
- 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 including IAM, Lambda, API Gateway, containers, DynamoDB/S3, VPC connectivity, and Secrets Manager.
- Experience designing and consuming REST APIs and OpenAPI specifications.
- Experience with authentication patterns such as OAuth 2.0 and OIDC.
- Understanding of trade-offs in agent memory, retrieval (RAG), and context management.
- Deep hands-on expertise in at least one of the two focus areas (Agent Runtime & Orchestration or Gateway, Tools & Integrations) and working knowledge of the other.
- Ability to write clean, well-tested code that is easily readable and reusable by other engineers.
- Clear communication skills and comfort teaching patterns to other teams.
- Experience building agents that function reliably and understanding common failure points.
- Focus on security and access control prior to deployment.
- Ability to quickly learn new AWS services through hands-on building.
- Honesty regarding current agent capabilities and limitations.
- Effective collaboration within a client team and a desire to help other engineers succeed.
- Prior consulting experience.
- Prior experience and connections in the Life Sciences industry are preferred.
Skills
- Python
- TypeScript
- LLM agent development
- Agent frameworks (Strands Agents, LangGraph, LangChain, CrewAI, OpenAI Agents SDK, LlamaIndex)
- LLM tool/function calling
- AWS (IAM, Lambda, API Gateway, containers, DynamoDB, S3, VPC, Secrets Manager)
- REST API design and consumption
- OpenAPI specifications
- OAuth 2.0
- OIDC
- Agent memory management
- Retrieval-Augmented Generation (RAG)
- Context management
- Clean code practices
- Code testing
- Communication
- Teaching/Mentoring
- Security
- Access control
- AWS service adoption
- Consulting
- Life Sciences industry knowledge
- Amazon Bedrock AgentCore (Runtime, Memory, Gateway, Identity)
- MCP server development
- Multi-agent systems
- Observability
- Failure handling
- Enterprise system integration
- Legacy system integration
- API management platforms (MuleSoft, Apigee, Kong)
- LLM evaluation tools
Location
- Remote
Work Type
- Full-time
- Direct-hire
Experience Level
- 5+ years of software engineering experience
Benefits
- Accommodations available upon request throughout the recruitment process.
About the Company
- Appnovation is a global, full-service digital partner combining Strategy, Experience & Design, Engineering, and Managed Services to build impactful digital solutions for current needs and future growth.
- Appnovation values diverse teams and celebrates Diversity, Equity & Inclusion.
- Appnovation aims to build better lives through better digital.
Equal Opportunity
- Appnovation is proud to be an Equal Opportunity Employer and encourages applicants from all backgrounds, lived experiences, and industries to apply.