Software Engineer

Job DescriptionJob DescriptionJob 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.