Applications System Engineer

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.

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