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Job Description
Structured overview of role & requirementsAbout This Role
Build, deploy, and operate AWS-based AI/Agentic platform services enabling multi-agent AI workflows, focusing on backend, orchestration, and infrastructure as code.
Own reliability and production readiness of platform services including monitoring, logging, alerting, and incident response for AI model and agent performance.
Design reusable service abstractions and SDKs, support shared platform features, and collaborate with application teams to integrate new AI capabilities and improve platform usability.
Minimum Requirements
Bachelor’s or Master’s degree in CS, AI/ML, Data Science, or equivalent experience.
5+ years of industry experience in software engineering or machine learning.
Strong AWS (or GCP/Azure) skills including compute, eventing, API management, IAM, containerization (Docker/Kubernetes), and Infrastructure-as-Code (CDK or Terraform).
Proficiency in backend development using languages like Python, Java, Go, Node.js, or TypeScript, with experience in microservices, event-driven architectures, and API design.
Ideal Candidate Profile
Experienced in agent frameworks (e.g., LangChain, LangGraph, CrewAI) with practical platform operation skills including RAG, memory systems, and human-in-the-loop workflows.
Demonstrated ability to build and maintain CI/CD and MLOps pipelines for deploying and scaling LLM-powered services.
Skilled in platform governance and security controls around cost, permissions, and preventing prompt-injection or agent attacks, with aptitude for mentoring engineers and shaping engineering standards.