Job Description
DeepCoreX is looking for Software Engineers who can design, build, and deploy real-world AI systems. You will work on production-grade applications across agentic AI, multi-agent systems, and enterprise deployments, contributing directly to ventures and live products.
This is not a research-only role. You will ship systems that run in the real world.
What You'll Do
Build and deploy production-ready AI systems across LLMs, RAG pipelines, and agentic workflows
Design scalable backend architectures for AI-driven applications
Work on multi-agent systems, orchestration frameworks, and automation pipelines
Integrate APIs, data pipelines, and external tools into intelligent systems
Optimize systems for performance, reliability, and cost efficiency
Collaborate with product, design, and venture teams to take ideas from concept to deployment
What We're Looking For
2–6 years of experience in software engineering or applied AI
Strong programming skills in Python and experience with backend systems
Hands-on experience with LLMs, AI frameworks, or applied ML systems
Understanding of system design, APIs, and scalable architectures
Builder mindset with a bias for execution over theory
Ability to work in fast-moving, unstructured environments
Skills: automation,multi-agent systems,rag,software,design,software engineering,ai,pipelines,intelligent systems,engineers
