Software Engineer I - AI Implementation

Summary: The Software Engineer will be responsible for designing, implementing, and deploying internal AI-powered systems that automate tasks, provide decision-making support, and deliver actionable insights. Leveraging large language models (LLMs), machine learning (ML), and agentic AI frameworks, this role will transform workflows —focusing on automation such as predictive demand forecasting, automated procurement decisions, supplier risk assessments, and optimized inventory controls. Initial focus will be on integrating with existing systems. Over time, the solutions will expand to additional areas.

RESPONSIBILITIES

• Design and deploy AI tools with LLMs, ML models, and agentic architectures, including RAG for knowledge retrieval and MCP for AI-tool integrations.
• Analyze workflows in target departments to identify AI automation opportunities, such as predictive forecasting and procurement decisions.
• Develop integrations with internal systems (e.g., SyteLine ERP, HubSpot CRM) and build secure APIs with user-friendly interfaces.
• Collaborate with stakeholders to gather requirements, document processes, and deliver automation-focused solutions.
• Monitor and optimize AI performance for accuracy, efficiency, and business impact while ensuring data security and compliance.

REQUIREMENTS

• Proficiency in Python and/or JavaScript (Node.js), including backend frameworks and data libraries (e.g., Pandas, NumPy).
• Experience with LLM APIs (e.g., OpenAI), ML frameworks (e.g., scikit-learn, TensorFlow), agentic tools (e.g., LangChain), RAG, and MCP.
• Skills in building REST APIs, front-end interfaces (e.g., React), and ERP/CRM integrations.
• Knowledge of cloud platforms (AWS, Azure, GCP) and Docker.
• Nice to have: Process mapping tools (e.g., Lucidchart); experience in supply chain/finance AI automation or ML forecasting.
• Soft Skills: Strong analytical problem-solving; excellent English communication for non-technical stakeholders; proactive in learning AI advancements.
• Language: Fluent and willing to work in English.

EDUCATION / EXPERIENCE

• Bachelor's degree in Computer Science, Data Science, or a related field; Master's degree preferred.
• Strong academic background.
• Minimum of 1 year’s experience in software development, with exposure to AI/ML or automation projects.

As an Equal Opportunity/Affirmative Action Employer, Cattron does not discriminate in hiring or in the terms and conditions of employment because of an individual's race, color, religion, gender, national origin, age, disability, sexual orientation, marital status, veteran status, arrest record, citizenship or other categories protected by federal, state or local laws. EOE/M/F/Vet/Disability