AI Senior Software Engineer

About Trace One

Trace One is a premier SaaS provider of Product Lifecycle Management (PLM) and compliance solutions, specializing in the food & beverage, cosmetics, personal care, and chemical industries. With over 30 years of expertise, we empower more than 9,000 brand owners worldwide to innovate, collaborate, and bring products to market faster while ensuring the highest standards of quality, compliance, and sustainability. Trusted by industry leaders, Trace One combines cutting-edge technology with unmatched expertise to help businesses navigate complexity, accelerate growth, and shape a sustainable future.

Context

Within the Engineering department and the Data & AI Management team, this role consists, in an international and multicultural context, of participating, organizing and planning the design, development and maintaining robust backend systems that seamlessly integrate AI models into scalable and reliable applications at the heart of our SaaS software platform. As part of an extended team, you will be liaising with colleagues in Europe.

Hierarchy and interactions

Reporting to the Data Manager and part of the BI & Data management

Key Responsibilities

• Develop and maintain robust backend systems that seamlessly integrate AI models into scalable and reliable applications.

• Design and implement APIs and services that deliver AI-driven features, ensuring smooth integration and usability across products and platforms.

• Collaborate with cross-functional teams, including product managers, data scientists, data engineers and frontend engineers, to create innovative solutions that leverage the latest advancements in AI and machine learning.

• Stay at the forefront of emerging AI technologies and trends, integrating relevant innovations into our ecosystem to solve real-world challenges and drive business value.

Required Skills and Qualifications

1. Programming and Backend Development:

o Strong proficiency in Python with strong knowledge of backend frameworks, especially FastAPI.

o Experience in designing RESTful APIs and working with microservices.

1. Generative AI Integration:

o Familiarity with LangChain or similar framework for building workflows around Large Language Models (LLMs).

o Understanding of Retrieval-Augmented Generation (RAG) workflows, including integrating vector search with LLMs to improve context relevance and response accuracy.

o Experience with embedding-based search and integrating AI models with knowledge bases or document repositories.

1. Database Skills:

o Experience working with vector database such as Elasticsearch or similar technologies for semantic search and embeddings.

o Proficiency in working with SQL databases (e.g., SQL server, MySQL) for managing structured data and writing optimized queries.

1. Testing:

o Experience with testing frameworks such as pytest, unittest, or any equivalent testing library.

o Proficiency in writing unit, integration, and performance tests.

1. Containerization and Deployment:

o Hands-on experience with Docker for containerizing applications.

1. Programming Best Practices:

o Strong understanding of clean code principles, modular design, and documentation.

o Familiarity with CI/CD pipelines and version control tools like Git.

1. General Skills:

o Problem-solving mindset with an ability to debug complex systems.

o Excellent communication skills to collaborate within a team and share technical ideas effectively.

Preferred Qualifications

• Experience with Vertex AI for managing machine learning models and pipelines.

• Familiarity with Gemini models and their practical applications.

• Experience with machine learning and AI training workflows, including data preprocessing, model training, evaluation, and deployment.

• Knowledge of deploying and managing containers on Kubernetes.

Proven experience in building and deploying production-ready applications using AI models

The Trace One group is an equal opportunities employer.

If you recognize yourself in this offer, don't hesitate any longer and send us your application