Senior Engineer

TalentOla; Charlotte (NC); On-site; USD 170,000 - 240,000; Full time

Job summary

TalentOla seeks a senior platform engineer to design and build enterprise-scale Agentic AI platforms, including runtimes, orchestration engines, and developer frameworks.

You will work across cloud-native architecture, Kubernetes/OpenShift, microservices, APIs, and event-driven systems, delivering reusable SDKs and self-service capabilities for product teams. Strong DevOps, IaC, and data-layer experience are required.

Qualifications

• Experience designing enterprise-scale AI platforms including agent runtimes and orchestration engines.
• Strong cloud-native skills with Kubernetes/OpenShift and microservices.
• Hands-on with hyperscaler AI offerings and large language models.
• Experience building reusable SDKs and self-service developer tooling.
• Proficiency in Python and/or Java; leadership in architecture and design.

Responsibilities

• Design and build enterprise-scale Agentic AI platforms and runtimes.
• Develop orchestration engines, developer frameworks, and platform services.
• Implement CI/CD, GitOps, IaC, and production monitoring.
• Advance data layer architectures with high-performance access patterns for AI apps.

Skills

Agentic AI platform design

Platform engineering

Python/Java

Cloud-native architecture

DevOps / CI/CD

Kubernetes/OpenShift

Microservices

Event-driven systems

SDKs & developer tooling

IaC / Terraform

Observability & production ops

Security & guardrails

Tools

Kubernetes/OpenShift

Terraform

CI/CD pipelines

GitOps

MongoDB

Redis

Vector databases

Job description

• Strong experience designing and building enterprise-scale Agentic AI platforms, including agent runtimes, orchestration engines, developer frameworks, and platform services.
• Expertise in cloud-native architecture, Kubernetes/OpenShift, microservices, APIs, event-driven systems, and scalable distributed platforms.
• Hands-on experience with hyperscaler agentic AI offerings such as Google ADK/Agent Engine, Vertex AI, Azure AI Foundry, AWS Bedrock Agents, and MCP ecosystems.
• Deep understanding of LLMs, reasoning models, tool calling, agent frameworks, RAG, model evaluation, prompt engineering, and inference optimization.
• Experience building reusable SDKs, low-code/no-code developer experiences, workflow automation platforms, and self-service capabilities for application teams.
• Strong DevOps and platform engineering experience, including CI/CD, GitOps, Infrastructure as Code (Terraform), containerization, release automation, monitoring, and production operations.
• Experience with distributed data platforms including MongoDB, Redis, Vector Databases, caching architectures, session state management, and high-performance data access patterns for AI applications.
• Knowledge of platform observability, governance, security, guardrails, identity, resiliency, and production operations for enterprise AI systems.
• Strong software engineering skills in Python and/or Java with experience leading architecture and technical design for complex platforms.

Other details