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Software Engineer

Artech LLC

Plano, TX 75075 • 10/28/2026

Engineering , Information Technology , Professional

Job Description

Job Description
Job Title: Software Engineer
Location: Plano, TX
Duration: 12 months (With possible extension)
Pay range: $60 - $65/hr

Job Summary:

Skills:
  • Typescript, Nest.js (and how they can be used for AI / Agentic AI) Python (and how it can be used for AI Work) AI/ML Concepts.
  • Knowledge and implementation experience. Deep understanding of prompts, strategies, RAG. GenAI, AI, LLMs.
  • Knowledge and implementation experience Agentic Frameworks.
  • Knowledge and implementation experience. Deep understanding of Context Engineering, LangChain, LangGraph, CrewAI, AutoGen, Web Scraping Tools.
  • Understanding of MCPs, Agentic RAG (Supabase, Vectorize, Pinecone, Weaviate are all a plus), Evals, Tools etc.

Programming:
  • Strong programming skills in Python, Typescript, Nest.js, Go, Java Software and Systems Engineering
  • APIs, REST APIS, understanding. CI/CD, Docker, K8s, Cloud understanding is critical.
  • Experience with Claude Code, Cursor are a huge plus Knowledge and working experience with Figma, Windsurf, Replit are a must have.

Description:
  • This position is critical to sustaining and accelerating strategic Platform Engineering Automation, and AI-driven transformation initiatives supporting security compliance, developer productivity, and release velocity.
  • Resource will be responsible for designing, developing, and enhancing automation solutions using AI where applicable across multiple platform engineering domains.

Primary focus on:
  • Security vulnerability remediation automation for Platform Seed frameworks and shared platform components.
  • AI-enabled workflows for vulnerability identification, prioritization, remediation, and compliance reporting.
  • Microservices and API inventory automation, governance, onboarding, discovery, and gap remediation capabilities.
  • RevUP CI/CD workflow enhancements, Quality Gates implementation, automation, standardization, and reporting.
  • iXP feature flag lifecycle management, deployment automation, rollout controls, traffic management, and self-service capabilities.
  • UI modernization and usability enhancements for Platform microservices, to improve developer experience, adoption, and operational efficiency.
  • Automation of manual engineering and operational processes to reduce sustainment effort and improve release readiness.
  • Support for strategic AI and automation initiatives that improve platform, security compliance, engineering productivity, and operational resilience.