Description

Key Responsibilities

Solution Design & Development

• Understand software development life cycles (SDLC) and Agile methodologies.

• Analyze business requirements, identify technical challenges, and contribute to the design and architecture of GenAI and backend solutions.

• Develop clean, scalable, and efficient code using Python, Node.js, or Java. Technical Expertise

• Demonstrate strong knowledge of AWS serverless services, including Lambda, Step Functions, Event Bridge, S3, SNS, SQS, and IAM.

• Apply expertise in event-driven architecture and messaging patterns. • Integrate and work with LLM APIs and GenAI frameworks such as OpenAI and Amazon Bedrock.

• Implement infrastructure as code using Terraform and CI/CD pipelines, preferably with GitHub Actions.

• Develop and maintain APIs using Open API/Swagger and reusable backend modules. Application Development and Customization

• Design, develop, test, and deploy cloud-native services, multi-agent AI components, and backend integrations.

• Maintain and enhance GenAI applications to ensure optimal performance, scalability, reliability, and cost efficiency.

• Develop reusable utilities for template parsing, dynamic content generation, and intelligent workflow automation. Integration Management

• Design and implement integration points between AIMI, the Go/AI platform, and other systems using

• APIs, event-driven services, and AWS-native components. Additional Responsibilities

• Assess the impact of new development or requested changes across the existing application landscape.

• Collaborate with business stakeholders to refine technical requirements and implementation approaches.

• Create and maintain technical documentation, including system diagrams, data flows, and developer guides.

• Partner with QA and testing teams to support debugging, defect resolution, and code quality assurance. Day-to-Day Support

• Perform and coordinate development and support activities to meet departmental and project objectives.

• Conduct root cause analysis for complex production issues and defects.

• Support incident management, minor demand management, and the implementation of innovative fixes and solutions. Qualifications and Education Requirements

  • 6+ years of professional experience in backend or cloud development using Python, Node.js, or Java.

  • 6+ years of hands-on experience with AWS serverless services and event-driven architectures. 

• Proven experience integrating LLM APIs or GenAI frameworks such as OpenAI and Amazon Bedrock.

  • Strong experience with Terraform and CI/CD automation, preferably using GitHub Actions. 

• Solid understanding of object-oriented programming (OOP) principles. 

• Experience with API development, OpenAPI/Swagger, JSON, and XML.

  • Ability to write technical specifications and document development work.

  • Hands-on experience with tools such as Jira, Confluence, and ServiceNow. Preferred Qualifications 

• Experience with multi-agent AI platforms and MCP services.

  • Experience with .NET Core, JavaScript frameworks, or other frontend technologies is a plus.

  • Experience working in an Agile/Scrum development environment.

  • Experience in Pharma or Life Sciences applications.

Essential Skills:

  • Tech Lead Role Build scalable backend services with AWS (Lambda| Step Functions| EventBridge| S3)

• E3Build Multi-Agent AI Platform and MCP Services.E3Integrate LLMs (OpenAI| Bedrock).

• Expert in AWS: Lambda| S3| Step Functions| Event Bridge| IAM.  E1Strong grasp of event-driven architecture and messaging (SNS| SQS).

• Build scalable backend services with AWS (Lambda| Step Functions| EventBridge| S3

• Build Multi-Agent AI Platform and MCP Services. Integrate LLMs (OpenAI| Bedrock).

• Develop reusable APIs and modules for template parsing and dynamic content.

• Manage infrastructure with Terraform and CI/CD pipelines (preferably Github actions).Prototype agent-based AI coordination for smart workflows. Optimize performance| reliability| and cost across backend systems.

• Ensure security and compliance across infrastructure and services.

• Contribute to architecture decisions and technical documentation

Key Skills

Education

Bachelor's degree