Back
Medium — mid-level role with AI platform specialization and recognizable corporate brand increases qualified applicant competition.
High — requires specialized AI platform, MLOps, and agent-runtime experience, limiting cross-industry fit.
High — explicit 5+ years plus mandatory AWS, IaC, MLOps, and agent-framework experience narrows candidate pool.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Build, deploy, and operate AWS-based AI/Agentic platform services and orchestration systems supporting multi-agent AI workflows.
Provision and manage cloud infrastructure as code to ensure reproducible, auditable, and secure platform environments.
Own reliability, monitoring, security, and CI/CD/MLOps pipelines for platform services, and provide mentorship and documentation for platform adoption.
Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or equivalent practical experience.
5+ years of industry experience in software engineering or machine learning.
Strong programming skills in Python, Java, Go, Node.js, or TypeScript with backend and distributed systems experience.
Solid AWS (or equivalent cloud) experience including compute, eventing, API management, IAM, containerization (Docker/Kubernetes), and Infrastructure-as-Code (CDK or Terraform).
Experienced in agent frameworks and architectures such as LangChain, LangGraph, or CrewAI, capable of designing and operating related platform services including RAG and memory systems.
Proficient in building and maintaining CI/CD pipelines and applying MLOps/LLMOps practices for scalable, reliable LLM-powered services.
Operationally versed in monitoring/logging tools (Grafana, Prometheus, ELK) and knowledgeable about vector databases, memory systems, and human-in-the-loop workflows.