About the Company

TraceLink is a leading technology company providing software solutions and the Opus Platform to help the pharmaceutical industry digitize its supply chain. By improving compliance, visibility, and decision-making, TraceLink ensures the uninterrupted delivery of medicines to patients worldwide.

Founded in 2009 with the mission of protecting patients, TraceLink has grown to include over 800 employees, 8 global offices, and more than 1,300 customers across 60+ countries. The company continues to expand its product suite, enabling multi-enterprise collaboration through innovative applications such as MINT, and has been recognized by Gartner, IDC, and Comparably for its industry leadership and workplace culture.

Introduction

TraceLink is seeking an early-career Agentic AI Engineer to contribute to the development of AI-powered systems that automate and enhance supply chain workflows. This role offers a unique opportunity to work at the intersection of software engineering and applied Generative AI.

You will collaborate with experienced engineers and data scientists to build agentic AI systems, integrate retrieval-based architectures such as RAG, and contribute to testing and validation strategies for non-deterministic AI systems. This position is ideal for candidates eager to grow in AI engineering while solving real-world enterprise challenges.

Key Responsibilities

Technical Development

Support the design and implementation of agentic AI and Generative AI systems for automating supply chain workflows.
Develop and maintain backend services and integrations using Python and/or Java.
Contribute to multi-agent systems, including task orchestration, tool execution, and agent collaboration patterns.
Implement and improve knowledge-based systems such as RAG pipelines and retrieval mechanisms.

Execution & Problem Solving

Assist in building testing and validation strategies for AI systems, including evaluation datasets and regression testing.
Participate in experimentation with fine-tuning approaches for small language models and iterative improvement techniques.
Debug, monitor, and enhance system performance and reliability in production environments.
Apply core engineering concepts to solve real-world AI and backend challenges.

Growth & Collaboration

Collaborate with product managers and domain experts to translate supply chain requirements into scalable software solutions.
Participate in code reviews, documentation, and operational support processes.
Continuously learn and apply new AI and software engineering practices.
Contribute to improving system reliability through experimentation and evaluation enhancements.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
0–2 years of experience in software engineering, AI engineering, or machine learning (internships included).
Strong programming skills in Python and/or Java with the ability to write production-quality code.
Familiarity with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.
Basic understanding of Generative AI concepts including LLMs, agent workflows, and multi-step reasoning.
Knowledge of APIs, distributed systems basics, debugging, and performance optimization.
Strong foundation in data structures and algorithms.
Ability to learn quickly, collaborate effectively, and adapt to feedback.

Preferred Qualifications

Hands-on experience with agentic AI systems or multi-step AI workflows.
Exposure to Retrieval-Augmented Generation (RAG), embedding-based search, or hybrid search techniques.
Experience with fine-tuning small language models or adapting NLP systems.
Understanding of reinforcement learning concepts applied to language models.
Familiarity with event-driven or reactive system architectures.
Interest or knowledge in supply chain, logistics, manufacturing, or life sciences domains.

Why Join Us / Benefits

At TraceLink, you will work on impactful AI-driven solutions that directly contribute to improving global healthcare supply chains. This role provides hands-on experience with cutting-edge technologies in Generative AI and enterprise systems while collaborating with experienced professionals in a supportive environment.

Work on real-world AI applications with global impact.
Collaborate with experienced engineers and data scientists.
Opportunity to grow in both software engineering and applied AI.
Exposure to enterprise-scale systems and supply chain innovation.