Sr. GenAI Cloud Engineer
Role details
Job location
Tech stack
Job description
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.
Requirements
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.