Software Engineer / Technical Architect

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Senior Software Engineer / Technical Architect (Python, AI/LLM, Kubernetes)

Charlotte, NC (Hybrid 3 Days Onsite)

• Contract: 12 Months (Potential Extension/Conversion)
  
  

Overview

We are seeking a highly skilled Senior Software Engineer / Technical Architect to design and deliver modern, scalable backend systems while driving AI-powered innovation.

This role combines hands-on engineering, system architecture, and AI/LLM solutioning, making it ideal for engineers who enjoy solving complex problems, building production-grade systems, and working with cutting-edge technologies such as GPT, Gemini, and agent-based frameworks.

Key Responsibilities

• Define and drive target architectures, reference designs, and technical roadmaps
• Design and deliver scalable backend systems using Python and/or Java
• Build and maintain API-driven microservices deployed on Kubernetes/OpenShift (OCP)
• Develop LLM-powered solutions using tools such as GPT, Gemini, and RAG frameworks
• Build agent-based workflows leveraging technologies like LangChain and Vertex AI
• Translate business requirements into secure, scalable, and cost-efficient technical solutions
• Lead architecture reviews and drive cross-domain system integration
• Own end-to-end SDLC, including design, development, testing, and deployment
• Implement observability and reliability best practices (SLOs, SLIs, monitoring, incident readiness)
• Embed security and compliance controls into systems and development pipelines
  
  

Required Qualifications

• 5 years of software engineering experience (enterprise-scale preferred)
• Strong proficiency in Python and/or Java
• Hands-on experience building APIs and distributed systems
• Experience with Kubernetes, OpenShift (OCP), or containerized environments
• Strong background in system design and architecture
• Ability to operate independently and solve complex, ambiguous problems
• Experience working across the full software development lifecycle (SDLC)
  
  

Preferred Qualifications

• Experience with LLMs (GPT, Gemini) and AI/ML concepts
• Hands-on experience with RAG (Retrieval-Augmented Generation) and LangChain
• Exposure to Vertex AI or similar AI platforms
• Familiarity with observability tools (Prometheus, OpenTelemetry)
• Experience in financial services or regulated environments
  
  

Work Environment

• Hybrid: 3 days onsite in Charlotte, NC
• Highly collaborative, engineering-driven culture
• Fast-paced environment focused on innovation and modern technologies