Sr. GenAI Cloud Engineer

Key Responsibilities

• 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.

Day-to-Day Tasks

• Join standups and collaborate with engineering and product teams.
• Write clean, maintainable code and review peer pull requests.
• Experiment with LLM APIs and deliver quick iterations on AI features.
• Deploy, monitor, and troubleshoot services using CloudWatch.
• Evolve IaC and CI/CD processes in partnership with DevOps.
• Document systems clearly for both engineers and stakeholders.

Required Qualifications

• 6+ years in backend/cloud development (Python, Node.js, or Java).
• Expert in AWS: Lambda, S3, Step Functions, EventBridge, IAM.
• Strong grasp of event-driven architecture and messaging (SNS, SQS).
• API development experience; familiarity with OpenAPI/Swagger.
• Proficient with Terraform or similar IaC tools.
• Experience working with LLM APIs or GenAI frameworks (e.g., LangChain, Bedrock, OpenAI).
• Excellent communication skills; self-driven in a remote, agile setting.