Description

You will design and build scalable GenAI and backend solutions, integrating LLMs and multi-agent systems with AWS serverless infrastructure.

Responsibilities

• Design and develop cloud-native services, multi-agent AI components, and backend integrations using Python, Node.js, or Java.
• Implement infrastructure as code with Terraform and manage CI/CD pipelines, preferably using GitHub Actions.
• Integrate LLM APIs and GenAI frameworks such as OpenAI and Amazon Bedrock into event-driven architectures.
• Build reusable APIs, modules for template parsing, and dynamic content generation utilities.
• Collaborate with stakeholders to refine technical requirements, maintain documentation, and resolve complex production issues.

Required Skills

• 6+ years of professional experience in backend or cloud development using Python, Node.js, or Java.
• Strong expertise in AWS serverless services including Lambda, Step Functions, EventBridge, S3, SNS, SQS, and IAM.
• Proven experience integrating LLM APIs or GenAI frameworks such as OpenAI and Amazon Bedrock.
• Hands-on experience with Terraform and CI/CD automation, preferably using GitHub Actions.
• Solid understanding of object-oriented programming (OOP) principles and event-driven architecture.
• Experience with API development using OpenAPI/Swagger, JSON, and XML.
• Ability to write technical specifications and document development work using tools like Jira, Confluence, and ServiceNow.

Preferred Skills

• Experience with multi-agent AI platforms and MCP services.
• Experience with .NET Core, JavaScript frameworks, or other frontend technologies.
• Experience working in an Agile/Scrum development environment or in Pharma/Life Sciences applications.

Key Skills

Education

Bachelor's degree