Platform Engineer - Hybrid API & AI Platform (Temp)

TekWissen LLC

Alpharetta (GA)

Hybrid

USD 96,000 - 152,000

Part time

14 days+

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Job summary

TekWissen LLC is seeking a Platform Engineer for a hybrid, 2-month assignment in Alpharetta, GA. You will design and operate production-grade APIs, back-end services, and developer-facing platforms, while building AI agents and automated workflows to enhance architecture analysis and remediation planning.

The role emphasizes SDLC ownership, scalable infrastructure, and secure coding practices, with collaboration across SRE and application teams to ensure production-readiness and high

Qualifications

  • Strong hands-on software development experience using Java, Python, C#/.NET, or comparable backend technologies.
  • Experience developing user interfaces with React, Angular, TypeScript, or an equivalent modern framework.
  • Demonstrated ownership of production applications or platform services, from design through operational support.
  • Experience designing APIs, distributed systems, asynchronous integrations, and relational or NoSQL data access.
  • Practical experience developing LLM-enabled applications, AI agents, retrieval workflows, or AI-powered automation.
  • Experience with containers, Kubernetes or equivalent platforms, CI/CD, and infrastructure/configuration as code.
  • Strong understanding of authentication, authorization, secrets management, secure coding, and data protection.
  • Ability to diagnose application, database, network, and dependency-related performance or reliability issues.
  • Strong collaboration skills and the ability to explain technical decisions and trade-offs to diverse stakeholders.

Responsibilities

  • Design, develop, test, and operate production-grade APIs, backend services, web applications, and developer-facing platforms.
  • Build self-service portals, infrastructure platform catalogs, reusable components, and automation that simplify adoption of approved platform capabilities.
  • Develop integrations across application services, databases, messaging platforms, API gateways, and enterprise engineering tools.
  • Write maintainable, secure, well-tested code and participate in code reviews, design discussions, troubleshooting, and performance optimization.
  • Own capabilities throughout the SDLC, including CI/CD, deployment, rollback, documentation, and operational readiness.
  • Build AI agents and AI-assisted workflows for architecture analysis, engineering knowledge discovery, evidence collection, standards validation, and remediation planning.
  • Develop retrieval-augmented generation solutions that ground responses in authorized architecture documents, code, configuration, and platform knowledge.
  • Integrate agents with enterprise APIs and tools through controlled interfaces, including Model Context Protocol (MCP) where appropriate.
  • Implement evaluation frameworks for accuracy, grounded ness, safety, consistency, latency, and cost.
  • Engineer production controls for AI systems, including access restrictions, bounded execution, auditability, human approval, and safe fallback behavior.
  • Automate architecture-review feedback and remediation tracking within developer workflows.
  • Identify and remediate single points of failure, scaling bottlenecks, and critical dependency weaknesses.
  • Design and validate high-availability, failover, disaster-recovery, and data-reconciliation capabilities.
  • Build observability through metrics, logs, tracing, dashboards, and alerts.

Skills

Java
Python
C#/.NET
React
Angular
TypeScript
LLM-enabled apps
AI agents
System design

Tools

Kubernetes
CI/CD

Job description

TekWissen LLC is seeking a Platform Engineer for a hybrid, 2-month assignment in Alpharetta, GA. You will design and operate production-grade APIs, back-end services, and developer-facing platforms, while building AI agents and automated workflows to enhance architecture analysis and remediation planning.

The role emphasizes SDLC ownership, scalable infrastructure, and secure coding practices, with collaboration across SRE and application teams to ensure production-readiness and high

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