CG Infinity

• Lead migration of legacy RPA solutions into agent-based architectures. • Design and develop AI agents using LangGraph, Strands, or similar frameworks. • Build and deploy agent workflows on AWS (Bedrock, Lambda, Step Functions, API Gateway). • Orchestrate multi-step workflows with memory, state, and tool usage. • Integrate with enterprise systems (CRM, ATS, ERP, APIs, databases). • Improve reliability, observability, and cost efficiency of automation pipelines. • Partner with business and product teams to identify automation opportunities.

• Design, deploy, and manage Amazon EKS clusters in production environments. • Implement Kubernetes RBAC, IAM roles for service accounts (IRSA), and EKS Pod Identity. • Ensure container security and compliance across environments. • Develop and maintain Infrastructure as Code using Terraform, CloudFormation, CDK, and Helm. • Integrate CI/CD pipelines and GitOps practices with tools like Argo CD, Flux, Jenkins, and GitLab CI. • Optimize networking and storage for Kubernetes workloads (VPC, CNI, EBS CSI, EFS CSI, FSx). • Implement monitoring and observability solutions using Prometheus, Grafana, CloudWatch, and OpenTelemetry. • Troubleshoot complex distributed systems and ensure high availability and scalability. • Collaborate with cross-functional teams to deliver secure, efficient, and cost-optimized solutions.

• Design, implement, and manage cloud infrastructure on AWS • Establish and maintain AWS environment, including account structure, networking, security, and governance frameworks

• Design, develop, and optimize GenAI applications using frameworks such as LangChain, LlamaIndex, or similar tools. • Implement prompt engineering strategies and fine-tune LLMs for specific business use cases. • Integrate LLMs with existing systems through APIs and microservices. • Develop RAG (Retrieval-Augmented Generation) architectures for knowledge-based applications. • Write clean, maintainable code in Python and other relevant languages. • Ensure responsible AI practices, including bias mitigation and safety guardrails. • Stay current with evolving GenAI technologies, frameworks, and best practices.