***Only qualified Applications System Cloud Engineer candidates located near Alpharetta, GA to be considered due to the position requiring an onsite presence. ***
Required Education: • Bachelor's degree in Computer Science or Engineering Degree , AI, Engineering, or a related field is typically required.
Preferred Education: • Master's degree in Computer Science or Engineering Degree , AI, Engineering, or a related field is typically required. • AI related Cloud JavaScript and associated frameworks Data related
Required Skills, Experience, & Abilities: • 3 to 5 years of experience (or more) If only Agentic Systems - can be hands-on Agentic framework related experience so ~ 1 year or more • 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. • Problem-solving - with strong analytical skills (should be able to tackle complex issue and AI hurdles Adaptability • Proactive and a good mindset in a fast-paced AI world Strong communication skills • Should be able to also deep dive into technical AI insights (not just non-technical communications) Collaboration • Experience working as a team and as an independent contributor Ethical AI • Secure deployments, responsible and ethical AI practices
Role: AI platform development to improve DevOps and Infra workflows. Software design, interface design, micro service development, java back-end development, workflow development and testing.
Responsibilities: • Request Description AI platform development to improve DevOps and Infra workflows. • Software design, interface design, micro service development, java back-end development, workflow development and testing. • Develops AI prompts and other strategies to improve the consistency, relevance and accuracy of LLM workflows and Agentic AI experiences. • Works with Team Leads, applications architects and QA testers. • Deliver quality code with proper documentation that meet the needs of the business. • Helps drive Agentic AI adoption within the EngOps team.
Information
Locations Position Open to Only localsIndustry OthersStatus OpenJob Age 12 Day'sCreated Date 01/16/2026No.of Positions 1Duration 12Zip Code
