Agentic System Engineer – Intern
Core
Design, prototype, and operate components of a production-grade multi-agent AI platform for industrial environments like textile mills, automotive factories, and pharmaceutical plants.
Role type
Intern, hands-on systems engineer (multi-agent AI)
Builds
Production-grade multi-agent AI platform components for industrial asset lifecycle management
Domain
Industrial AI / Manufacturing / Engineering Intelligence
Deliverable
production ML models
Required skills
Python, backend services, APIs, async programming, data structures, algorithms, LLMs, prompt engineering, RAG concepts, databases (PostgreSQL, MongoDB, Redis)
Preferred skills
Go, distributed systems, AI, data engineering
Technologies
Python, Go, LLM APIs, Vector search, Knowledge graphs, Time-series retrieval, Rule engines, CI/CD
Responsibilities
Implement and test multi-agent workflow components, write documented backend code, integrate LLM APIs with rule-based systems, participate in design reviews and debugging, support CI/CD pipelines and deployment
Seniority
Intern
