JB061325 - Application System Engineer

• Start Date: Interview Types
• Skills Cloud, DevOps, FIGMA.. Visa Types Green Card, US Citiz..
• **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.