Job Overview
Company logo: https://media.licdn.com/dms/image/v2/D4D0BAQHt2qBTXqb1HQ/company-logo_400_400/company-logo_400_400/0/1733313669876/panthrxyz_logo?e=1749081600&v=beta&t=CG27Ni1YD3-CMFOInxnSDeqnAINsx-ULQYNvfmA23ME @ Team Panthr
Expect the unexpected!
We are the first zero-BS talent matchmaker. Empowering individuals through their job seeking journey whilst finding the perfect candidate that fits not only a role but a company vision.
From start to finish, we focus on making the recruitment process smooth and positive for everyone involved.
With more than 15 years of experience in the field, we make use of real data insights, professional expertise and technology. Although we offer worldwide service, our feet are always on the ground and trust is at the heart of what we do, built on transparency and a genuine commitment to seeing you succeed.
About The Role
We are looking for a highly skilled and passionate Full-Stack Engineer to join our dynamic team in building an innovative software platform that will leverage cutting-edge algorithms.
As a Full-Stack Engineer, you will work on both the front-end and back-end development, building a seamless, scalable, and secure system from the ground up. You will be responsible for implementing the core functionality of the software, integrating the algorithms that assess cultural fit, and ensuring a high-quality user experience.
Your Responsibilities
End-to-End Development: Lead the development of both the front-end and back-end components of the software.Implement the core functionality for candidate and company profiles, matching algorithms, and evaluation results.Develop RESTful APIs to allow seamless communication between the front-end and back-end.Build and maintain databases for storing user data, profiles, evaluations, and other relevant information.Ensure security, scalability, and performance of the application.AI Model Integration:Collaborate with data scientists (or work independently if needed) to integrate machine learning and AI models into the software. Implement algorithms using collaborative filtering, classification models, or semantic matching.Use Natural Language Processing (NLP) to analyze text-based data (such as candidate responses and company culture descriptions) and integrate it with the matching algorithm.Full-Stack Development:Develop the front-end and back-end systems to display the results of AI-driven assessments, including user dashboards, feedback loops, and personalized suggestions.Build robust APIs that serve AI model predictions and cultural fit evaluations to both candidates and companies.Ensure that the back-end infrastructure is scalable to handle large datasets for AI/ML model processing, including managing candidate and company profiles.Algorithm Optimization:Continuously monitor and optimize the performance of AI models to ensure quick and accurate predictions.Implement version control for AI model updates and maintain a streamlined deployment process for updating models and integrating new features.Data Management:Build and manage databases for storing profiles, data and results. Ensure data security, integrity, and proper handling of sensitive user information.Work with data scientists to ensure data preprocessing pipelines are in place for AI model training and evaluation.Collaboration with Cross-Functional Teams:Work closely with the product and data science teams to refine AI models and user-facing features.Ensure that the software architecture supports both the technical requirements of AI models and the product’s user needs.Continuous Improvement:Actively participate in A/B testing and other methods to improve AI models over time.Use feedback from both candidates and companies to iterate on model accuracy and overall user experience.AI Model Maintenance:Stay current with industry advancements in AI/ML to improve the algorithms and technologies used in the platform.Implement systems for model monitoring, retraining, and continuous learning to ensure that the system evolves based on real-world usage.
About You
Autonomy, Responsibility and Proactivity.Organizational and resolution capacity.Proven Experience: 3+ years of professional experience in full-stack software development, building web applications with both front-end and back-end technologies. Front-End Skills:Strong proficiency in HTML, CSS, and JavaScript.Experience with modern front-end frameworks like React, Vue.js, or Angular.Familiarity with responsive design and cross-browser compatibility.Back-End Skills:Strong experience with back-end development, using languages such as Node.js, Python, Ruby, or Java.Proficiency in working with databases (SQL, NoSQL, or similar databases).Experience developing and integrating RESTful APIs.Algorithm Integration (Optional, but highly preferred):Experience integrating machine learning models or algorithms into a production environment.Familiarity with data science tools like Python, scikit-learn, TensorFlow, or similar frameworks.