AI & Cloud Engineer - Remote (Gilbert)

We are seeking a highly skilled MidSenior Level Engineer with strong expertise in Python, AWS cloud services, containerization, and modern AI / ML technologies. The ideal candidate has hands-on experience designing scalable data ingestion pipelines, deploying GenAI / LLM solutions, and building retrieval-augmented and agentic systems for enterprise use cases. This role involves end-to-end solution designdata, infrastructure, orchestration, and model integrationacross cloud-native environments.

Key Responsibilities

• Design, develop, and deploy scalable applications and microservices using Python and AWS services (Lambda, ECS / EKS, S3, DynamoDB, API Gateway, Bedrock, CloudFormation, etc.).
• Build and maintain containerized workloads using Docker , GitHub workflows, and CI / CD automation.
• Develop robust data ingestion and processing pipelines integrating structured / unstructured data sources.
• Implement GenAI solutions using LLMs, embeddings, vector databases (Pinecone, FAISS, Redis, etc.) , and RAG architectures.
• Build and manage knowledge bases , embedding pipelines, and context-retrieval systems optimized for real-world performance.
• Design and orchestrate agentic workflows using modern agentic frameworks and multi-agent patterns for automation and decision-making.
• Work with AWS Bedrock to integrate foundation models, manage guardrails, tune prompts, and optimize model performance.
• Implement secure, scalable infrastructure using CloudFormation , IAM, VPC, and AWS networking best practices.
• Collaborate with cross-functional teams (data, product, engineering) to translate requirements into technical designs.
• Monitor, troubleshoot, and optimize production AI / ML workloads, including inference performance, latency, cost, and reliability.
• Maintain strong code quality standards through GitHub version control, documentation, and automated testing.

Required Skills & Experience