Responsibilities :
The SaaS AI & LLM Specialist will lead the development and deployment of AI-driven SaaS solutions for BENZ Packaging’s customers. They will work closely with the product, technology, and business teams to create AI agents that improve packaging intelligence, automate workflows, and provide data insights.
This role requires expertise in SaaS development, cloud platforms, APIs, AI models, and the ability to translate business needs into AI-driven software solutions.
Key Responsibilities:
AI Agent & LLM Development:
- Design, develop, and deploy AI-powered chatbots and virtual assistants for customer support, packaging queries, and process automation.
- Implement Large Language Models (LLMs) to improve customer interactions, automate FAQs, and provide intelligent insights.
- Fine-tune AI models for industry-specific language processing (packaging, logistics, supply chain).
SaaS Product Development:
- Architect cloud-based SaaS platforms that integrate AI/ML for customer use.
- Develop custom AI APIs for packaging solutions, customer queries, and operational insights.
- Ensure AI solutions are scalable, secure, and integrate with existing ERP/CRM systems.
Customer-Centric AI Solutions:
- Build AI agents that assist customers with packaging recommendations, order tracking, and technical support.
- Develop AI-driven predictive analytics for moisture control, corrosion prevention, and packaging sustainability.
Technology & AI Integration:
- Work with NLP (Natural Language Processing), ML (Machine Learning), and deep learning models to enhance AI capabilities.
- Utilize cloud services (AWS, Azure, Google Cloud) for AI deployment.
- Integrate AI solutions with IoT and smart sensors to collect and analyze packaging-related data.
Business & Strategy Alignment:
- Understand customer pain points and develop AI-driven SaaS solutions that add value.
- Research and stay updated on AI trends in packaging and logistics.
- Collaborate with cross-functional teams (IT, sales, operations) to align AI projects with business goals.
Ideal Candidate Profile:
Technical Skills:
- Strong experience in AI/ML, NLP, and LLMs (GPT-based models, custom fine-tuning).
- Hands-on expertise in Python, TensorFlow, PyTorch, OpenAI API, LangChain, and NLP frameworks.
- Experience in cloud-based SaaS development (AWS, GCP, or Azure).
- Proficiency in API development, microservices, and database management (SQL, NoSQL, Graph DBs).
- Understanding of data security, compliance, and AI ethics.
Business & Analytical Skills:
- Knowledge of packaging, logistics, and supply chain processes (preferred).
- Strong analytical skills for data-driven decision-making and AI-powered automation.
- Ability to translate business challenges into AI solutions.
Soft Skills:
- Strong problem-solving and critical-thinking abilities.
- Excellent communication and presentation skills.
- Ability to work in cross-functional teams and drive AI adoption across the company.
Hiring Portfolio & Evaluation Criteria:
- Past Projects & Case Studies:
- Experience in developing AI-powered SaaS platforms or AI solutions for business applications.
- Demonstration of AI agents, LLM-based chatbots, or predictive analytics solutions.
- Technical Evaluation:
- Hands-on coding test (building an AI chatbot or API using LLMs).
- Cloud architecture design test (deploying AI models in AWS, GCP, or Azure).
- Business Understanding:
- Case study discussion on how AI can transform packaging and logistics.
- Solution proposal for a SaaS-based AI agent for BENZ Packaging customers.
- Soft Skills & Team Fit:
- Problem-solving round to assess approach to AI-driven business solutions.
- Culture fit discussion to align with BENZ Packaging’s vision for AI & automation.