Experience:

• 0–2 years of professional experience in software engineering, AI engineering, or ML engineering
• Internships and co-ops count as experience

Qualification:

• Master’s or Bachelor’s degree in Data Science, Artificial Intelligence, Machine Learning, Computer Science, or closely related discipline

Responsibilities:

• Design and implement agentic AI / GenAI systems to automate supply chain workflows
• Build and maintain backend services and integrations using Python and/or Java
• Contribute to multi-agent workflows including tool execution, routing, agent collaboration, and task orchestration
• Create testing and validation strategies for AI systems including evaluation datasets, regression testing, and behavior monitoring
• Implement and improve knowledge base systems including RAG pipelines and retrieval quality
• Experiment with fine-tuning small language models and reinforcement-learning-inspired improvement loops
• Partner with product and domain teams to translate supply chain needs into software
• Participate in code reviews, documentation, and operational support

Nice to have:

• Coursework, projects, or hands-on experience with agentic or multi-step AI systems
• Experience designing knowledge base solutions such as embedding-based search, hybrid search, reranking, or relevance evaluation
• Experience or academic background in fine-tuning small language models, training or adapting NLP models, reinforcement learning applied to language systems
• Exposure to event-driven or reactive systems
• Interest in supply chain domains like logistics, manufacturing, procurement
• Knowledge of life sciences supply chain

More skills:

Agentic AI, Retrieval-Augmented Generation (RAG), Cloud platforms (AWS, GCP, Azure), APIs and services, Distributed systems concepts, Debugging, Performance basics, Data structures, Algorithms

Other:

• TraceLink is the world’s largest Agentic Business Network with over 800 employees and 1700 customers in 60+ countries
• Company recognized by Gartner, IDC, and Comparably for leadership and culture
• Opportunity to grow skills in software engineering and applied GenAI
• Work on real-world enterprise problems in supply chain and optionally life sciences
• Supportive environment with senior engineers
• Focus on AI system reliability through experiments and evaluation improvements
• Encourages curiosity, motivation, growth mindset, and teamwork