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AI Cloud platform engineer

Javen Technologies, IncCincinnati, OH🇺🇸United StatesPosted 3 Sept 2026

Why This Role Stands Out

Leverage your expertise in AWS, Python, Terraform, and TypeScript to architect and deliver critical AI governance components in this hybrid role with Javen Technologies, Inc. You'll have the opportunity to mentor fellow engineers and shape the future of AI-driven systems, enjoying flexibility whether you're in Cincinnati or working remotely. Apply now to contribute to impactful advancements in AI engineering.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Cincinnati, OH, United States
Posted
8 hours ago
API GatewayAWSLLMPythonTerraformTypeScript

Job Description

Seeking a Cloud Software engineer for hybrid  contract role  in Cincinnati OH or remote

If interested , share your word document resume, work authorization, expected hourly pay rate,  current location, availability for work , skill stack and LinkedIn.

 

TECHNICAL SKILLS

Must Have

  • AWS
  • Python
  • Terraform
  • TypeScript

We are looking for a AI Software Engineer to join our AI agentic engineering team. You will design and deliver guardrail components across servicesdefine where and how enforcement should occur in systems, and mentor engineers on safe design and defensive programming patterns. You will also architect backend services, APIs, and integrations that apply software engineering discipline to govern how AI-driven systems behave across the engineering workflow.

This is a hands-on technical leadership role requiring strong proficiency in Python and TypeScript, a track record of delivering cross-service systems, and the ability to define enforcement patterns that other engineers follow.

What You'll Do

  • Design and deliver backend services and APIs that enforce system behavior across multiple services
  • Define where and how enforcement, filtering, and validation should occur within system architectures
  • Build cross-service controls and establish the patterns other engineers implement against
  • Instrument and improve observability across service boundaries — structured logging, metrics, distributed tracing
  • Own shared tooling and platform components with broad organizational reach
  • Mentor engineers on safe design, defensive programming, and failure handling practices

Core Capabilities

  • Writes production-quality code with strong proficiency in Python and TypeScript
  • Demonstrates advanced experience working in cloud environments (AWS)
  • Demonstrates advanced experience working with Infrastructure as code tools in production environments
  • Designs and implements scalable backend services and APIs across service boundaries
  • Defines enforcement patterns and interface contracts consumed by other teams
  • Thinks in systems — reasons about cross-service dependencies, failure propagation, and contract stability
  • Communicates defensive design principles clearly to other engineers
  • Shows strong technical curiosity and forms clear, experience-backed opinions

What Differentiates This Role

This role is focused on how systems behave under misuse, failure, or unexpected inputs — not on building user-facing features. At this level, you are defining where enforcement lives and how it works across services, not just implementing within one. You bring both the technical depth to build these systems and the communication skills to make the patterns repeatable by others.

What You Will Bring

  • 5–8 years of software engineering experience with strong proficiency in Python and TypeScript
  • Demonstrated experience delivering production systems on AWS (Lambda, Fargate, API Gateway)
  • Demonstrated experience building production systems on AWS using Terraform
  • Experience designing enforcement, filtering, or validation logic that spans multiple services
  • Track record of defining interfaces, contracts, or patterns adopted by other engineers
  • Ability to mentor junior and mid-level engineers on defensive design and safe coding practices
  • Clear written and verbal communication — able to define and document system-level enforcement patterns
  • Experience designing and building agentic workflows or multi-agent systems
  • Familiarity with LLM integration patterns — prompt injection detection, guardrail design, or output filtering
  • Experience with AWS Bedrock — model invocation, guardrail configuration, or AgentCore runtimes

Experience with agentic or multi-step workflow systems or Background in platform engineering or developer tooling roles

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