Note: The job is a remote job and is open to candidates in USA. Cinteot Inc. is an information technology company seeking an AI Platform Engineer to build, harden, and operate an enterprise generative AI and agentic platform. The role focuses on foundational platform capabilities, infrastructure automation, observability, governance, cost management, and supporting teams that develop and deploy AI agents at scale.
Responsibilities
- Engineer and maintain the platform’s foundational capabilities: LLM gateway, model routing, shared compute/infrastructure, and platform governance controls
- Onboard and support new platform capabilities and tools used by agents (e.g., adding/maintaining supported models and agent tooling standards)
- Provision and manage platform resources needed to scale agent development (e.g., provisioning Bedrock Knowledge Bases/vector-backed retrieval components where applicable)
- Build and maintain Terraform (or equivalent) IaC to create/update platform resources and dashboards; keep deployments repeatable across environments
- Own and operate platform pipelines: executing Terraform + backend/frontend pipelines, troubleshooting failed deployments, and improving delivery reliability
- Provide “platform support” for agent teams by diagnosing platform-related issues (e.g., deployment/update failures, agent creation problems, missing/incorrect results, conversation memory issues)
- Implement and maintain monitoring for performance/quality and agent behavior over time (including benchmark testing and evaluation monitoring such as “Bedrock Eval” where applicable)
- Own platform cost & usage management practices (budget signals, usage metrics, reporting, optimization recommendations)
- Collaborate with Security/Architecture/Governance partners to ensure platform controls align to enterprise policies and approved operating patterns (e.g., access controls, safe enablement of who can create what kinds of agents)
Skills
- Bachelor's degree in computer science, Engineering, Information Systems, or related technical discipline, or equivalent experience
- Demonstrated experience designing and operating shared application or platform services in an enterprise environment
- Experience with CI/CD pipelines, automation, and infrastructure provisioning
- Working knowledge of modern AI/ML or GenAI platforms and cloud-based services
- Strong understanding of operational reliability, monitoring, and support practices
- Experience supporting AI, ML, or GenAI platforms in regulated industries (e.g., healthcare, insurance, financial services)
- Familiarity with agent-based architectures, LLM model integration, and AI platform patterns
- Experience with cloud cost management, usage monitoring, or FinOps practices
- Professional cloud or AI-related certifications (AWS, Azure, or equivalent)
Benefits
- Health Insurance
- Dental Insurance
- Vision Insurance
- 401(k) Matching
- Paid Time Off (PTO)
- Paid Holidays
- Life Insurance
- Birthday PTO
- Education Reimbursement
- Flexible remote work environment.
- Comprehensive health benefits and wellness programs.
- Opportunities for professional development and career growth.
Company Overview