Chatbot Tester Jobs in Spring, TX (NOW HIRING)

Requirements:

• Strong Full Stack Engineering experience
• Backend development in C#, .NET, or similar (less concerned about the actual programming languages and frameworks as AI code generation can translate between languages/frameworks).
• Frontend skills in Angular and/or React - their front-ends fluctuate between both.
• Experience with component-based, modular architecture
• Familiarity with:
  • AI/LLM concepts and integration into applications
  • RAG patterns or chatbot development
• Understanding of Azure ecosystem basics (especially pipelines and services)

Domain

• Experience working in Microsoft-centric environments
• Exposure to AI/ML or LLM-based applications
• Understanding of software engineering lifecycle and platform development

Soft Skills

• Strong communication skills (English fluency required)
• Ability to be flexible/fungible across teams
• Quick ramp-up capability (2-week evaluation threshold)
• Strong collaboration and adaptability

Engagement Overview

• Project / Initiative: AI Foundation Program (post-moonshot stabilization and standardization)
• Business Objective:
  • Establish foundational AI and engineering capabilities
  • Standardize development patterns (RAG, chatbot frameworks)
  • Enable scalable, reusable AI solutions across the organization
• Current State / Problem:
  • Initial AI efforts (“moonshots”) executed without proper foundational architecture
  • Lack of standardized components, patterns, and processes
  • Multiple teams require support with inconsistent needs and maturity levels
• Desired Outcome:
  • Centralized, repeatable AI engineering framework
  • Modular, component-based architecture for reuse
  • Well-defined SDLC practices
  • Reliable, high-quality engineering talent embedded across teams

Role Summary

• Role Title: Full Stack Engineer (AI/Platform-leaning)
• Reason for Opening:
  • Staff augmentation to support AI foundation buildout
  • Multiple teams need additional resourcing at varying skill levels
• How this role fits into the broader project:
  • Core contributors to building reusable AI components, frameworks, and patterns
  • Support both application enablement and platform standardization
• Team Structure / Reporting Line:
  • Distributed across teams under:
    • Josh (focus: software engineering / SDLC modernization)
    • Sam (focus: AI Foundry / agent-based systems)

Preferred Skills (Nice-to-Haves)

• Experience with:
  • Azure AI services (e.g., Azure AI Search)
  • AI orchestration frameworks (e.g., Semantic Kernel, LangChain, AutoGen)
  • Agent-based architectures / “Agentic AI”
• Experience building internal platforms or developer frameworks
• Exposure to model management and automation pipelines
• Familiarity with memory integration patterns in AI systems
• Experience working in nearshore/distributed teams

Requirements:

• Strong engineering foundation (Full Stack or Backend-oriented)
• Experience integrating AI/LLM capabilities into applications
• Hands-on experience developing:
  • RAG applications
  • Chatbots
  • Agentic workflows
  • AI-powered developer platforms
• Understanding of prompt orchestration and AI application architecture
• Experience building reusable AI patterns and frameworks
• Experience with Azure AI Foundry
• Knowledge of hosted agents and agent orchestration
• Understanding of model management and automation
• Experience integrating memory components into AI system
• LLM lifecycle management, agentic architectures, RAG
• Tool calling and workflow orchestration.
• Evaluation, testing, and governance of AI systems
• AI enablement and educating development teams on AI fundamentals
• Experience creating reusable AI accelerators and reference architectures nice to have