Agentic AI Engineer
Core
Build and evolve AI-powered systems that automate and improve supply chain workflows using agentic AI and GenAI.
Role type
early-career agentic AI engineer
Builds
agentic AI / GenAI features, multi-agent workflows, knowledge base systems (RAG pipelines)
Domain
supply chain / life sciences
Deliverable
production ML models | product features
Required skills
Python, Java, cloud platforms (AWS/GCP/Azure), API design, distributed systems basics, data structures & algorithms, debugging
Preferred skills
agentic/multi-step AI systems, RAG/embedding-based search, fine-tuning small language models (SLMs), reinforcement learning concepts, event-driven systems
Technologies
Python, Java, AWS, GCP, Azure, LLMs, RAG, SLMs
Responsibilities
Support design and implementation of agentic AI systems; Build and maintain backend services and integrations; Contribute to multi-agent workflows (tool execution, routing, orchestration); Assist in creating testing and validation strategies for AI systems; Help implement and improve knowledge base systems (RAG pipelines, grounding strategies); Partner with product and domain teams to translate supply chain needs into software
Seniority
Early-career, hands-on IC