Highlights
Real-world impact, multi-agent workflows, cloud platform experience, generative AI concepts, flexible work environment.
Description
Job Summary
pWe are seeking an early-career Agentic AI Engineer to contribute to the development and evolution of AI-powered systems that enhance supply chain automation. This role involves working with experienced engineers and data scientists, building backend services, and implementing agentic AI features.
Responsibilities
- Support the design and implementation of agentic AI systems for supply chain workflows.
- Build and maintain backend services using Python or Java.
- Contribute to multi-agent workflows and task orchestration.
- Create testing and validation strategies for AI systems, including evaluation datasets.
- Implement and improve knowledge base systems.
- Participate in code reviews and operational support.
Required Skills
- Python or Java programming
- Data structures & algorithms
- Cloud platforms (AWS, GCP, Azure)
- Generative AI concepts
- APIs and services development
Required Skills Explained
- Python and/or Java programming skills: Essential for building backend services and integrations.
- Familiarity with cloud platforms like AWS, GCP, or Azure: Crucial for deploying and managing AI systems in a scalable manner.
- Understanding of generative AI concepts such as LLMs, RAG pipelines, and multi-step reasoning: Key to developing agentic AI features.
- Experience with API design and distributed systems: Important for building robust and efficient backend services.
- Data structures & algorithms knowledge: Fundamental for optimizing code performance and efficiency.
Who is this for
pThis role suits individuals eager to grow in software engineering and applied GenAI. Ideal candidates are excited about working on real-world enterprise problems in supply chain or life sciences.
Why This Job is a Good Opportunity
ulliTo work on innovative enterprise-level AI solutions that impact real-world supply chain workflows.liA chance to collaborate with experienced engineers and data scientists, fostering growth in both software engineering and applied GenAI.liLocated at an industry leader recognized for its great company culture by Comparably.liDiverse project scope from multi-agent workflows to lightweight fine-tuning approaches, offering a wide range of learning opportunities.
Interview Preparation Tips
- Understand key AI concepts and technologies like RAG and multi-agent systems.
- Be prepared to discuss your experience with Python or Java, including any relevant projects or internships.
- Showcase your ability to work in a team and handle both predictable tasks and emerging workflows.
- Highlight examples of how you have taken feedback well and improved your skills over time.
Career Growth in This Role
pGrowth opportunities abound as the role involves working on cutting-edge AI systems for supply chain automation. You can move into more senior positions focusing on system architecture or take a lead role in research and development of new AI features. The company culture emphasizes continuous learning, making it an excellent environment to develop your skills further.pWith experience, you could also explore specializations within the field such as fine-tuning small language models (SLMs) or training NLP models, aligning closely with Tracelink’s expanding product suite and focus areas.
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Skills
Frequently Asked Questions
What kind of projects will I be working on?You'll work on building agentic AI systems, integrating RAG patterns, and contributing to multi-agent workflows in the supply chain domain.
Is this role suitable for early-career professionals?Absolutely! This position is designed for individuals with 0-2 years of experience or those who have completed relevant internships.
What are the preferred qualifications?Preferred qualifications include coursework or hands-on experience with agentic AI systems, knowledge of small language models, and exposure to supply chain domains.
