Senior AI Engineer
Core
Architect, implement, and optimize enterprise-scale AI/ML systems, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures.
Role type
Senior AI Engineer (Systems & Agentic AI)
Builds
Production AI platforms, multi-agent systems, and intelligent features integrated into supply chain sustainability software.
Domain
Supply chain sustainability / Enterprise SaaS
Deliverable
production ML models | product features | infrastructure
Required skills
Python, C#, JavaScript/Angular, LLMs, RAG, Agent-based architectures (MCP, LangChain, CrewAI, AutoGen), Distributed systems, Microservices, Event-driven architectures, Cloud-native services, CI/CD, Docker, Infrastructure-as-code
Preferred skills
AWS, Azure, or GCP, Kafka, RabbitMQ, Solace PubSub+, Responsible AI governance frameworks
Technologies
Python, C#, Angular, JavaScript, MCP, A2A/ADK, LangChain, CrewAI, AutoGen, AWS, Azure, GCP, Kafka, RabbitMQ, Solace PubSub+, Docker
Responsibilities
Design and build advanced AI solutions including LLMs and RAG pipelines; Deploy and orchestrate multi-agent systems for enterprise use cases; Implement policies and observability to bound agent behavior and ensure Responsible AI; Connect agents with APIs and microservices to orchestrate collaboration; Partner with product and engineering teams to co-create AI features; Evaluate and adopt emerging AI tools to strengthen platform strategy.
Seniority
Senior, hands-on IC
