Senior Software Developer – Artificial Intelligence

About Us:
Endpoint is an interactive response technology (IRT) systems and solutions provider that supports the life sciences industry. Since 2009, we have been working with a single vision in mind, to help sponsors and pharmaceutical companies achieve clinical trial success. Our solutions, realized through the proprietary PULSE platform, have proven to maximize the supply chain, minimize operational costs, and ensure timely and accurate patient dosing. Endpoint is headquartered in Raleigh-Durham, North Carolina with offices across the United States, Europe, and Asia.
Position Overview:
The Senior Software Developer – AI will be instrumental in leveraging AI technologies to enhance business processes across the organization. This role involves understanding existing business workflows, identifying opportunities for AI-driven automation, and promoting the benefits of these solutions in terms of speed, quality, and cost. The AI Software Engineer will develop proof of concepts (POCs), secure business approval, and implement AI solutions at scale globally. Key skills include proficiency in neural networks, programming, NLP, prompt engineering, and hands-on experience with AI tools and frameworks. Collaboration with cross-functional teams and a strong understanding of data ethics and AI bias are also essential.
Working closely with other Software Developers and Design Managers, you will lead the development effort in any client-specific customization that is required for individual deployments.
Responsibilities: Business Process Understanding: Gain a deep understanding of our business processes to identify areas where AI-driven solutions can be applied.
AI Evangelism: Promote AI-driven opportunities to automate business processes, highlighting the potential benefits in terms of speed, quality, and cost.
Benefit Identification and Socialization: Identify and communicate the advantages of AI-driven solutions to stakeholders, ensuring they understand the impact on efficiency and effectiveness.
Proof of Concepts (POCs): Develop and present POCs to demonstrate the feasibility and value of AI-driven solutions.
Business Approval: Work with business leaders to gain approval for AI-driven initiatives by showcasing the potential ROI and strategic benefits.
Global Implementation: Implement AI-driven solutions at scale across the organization, ensuring consistency and alignment with global standards.
Assist in developing or implementing new AI-driven solutions, processes, policies, or systems.
Demonstrate efficient and accurate completion of all responsibilities.
Address any issues identified in the deployed solutions and resolve them within the estimated time and expected quality outcome.
Document your work including solution and coding comments and release notes.
Education: Bachelor's degree in Computer Science, Engineering, or equivalent field or appropriate experience will be considered.
Experience: 5+ years of extensive experience in software development with a strong understanding of front-end and back-end technologies.
3+ years of experience can be considered for exceptional and proven candidates.
Strong experience in understanding and implementation of the latest AI-driven solutions in enterprise software applications.
Previous working experience with an Interactive Response Technology (IRT) platform or system is highly preferred.
Proven ability to handle higher complexity work and building solutions from scratch.
Expertise in mentoring junior developers.
Skills: Programming Proficiency: Strong programming skills in languages commonly used in AI development, such as Python, are crucial. Additionally, proficiency in .Net, Java, JavaScript, etc. is desirable.
Hands-On Experience with AI Tools and Frameworks: Practical experience with AI tools and frameworks such as Hugging Face and OpenAI.
Prompt Engineering: Ability to design and optimize prompts for AI models to achieve desired outputs.
AI Integration in Business Processes: Experience in integrating AI solutions into existing business processes to enhance efficiency and effectiveness.
Collaboration and Interdisciplinary Skills: Ability to work effectively with cross-functional teams, including business stakeholders, to implement AI solutions.
Proof of Concepts (POCs): Experience in developing and presenting POCs to demonstrate the feasibility and value of AI-driven solutions.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Excellent organizational and time management skills.
Attentive listening skills.
Additional skills that are desirable but not mandatory include: Understanding Neural Networks: Proficiency in neural networks, including architectures like Convolutional Neural Networks (CNNs) and Transformers, is essential. This includes knowledge of activation functions and backpropagation techniques.
Model Training and Fine-tuning: Experience in training and fine-tuning AI models to optimize performance and accuracy.
Natural Language Processing (NLP): A solid understanding of NLP to handle tasks involving human language interaction.
Data Ethics and AI Bias: Awareness of ethical considerations and bias in AI, ensuring responsible and fair use of AI technologies.
Mathematical Foundations: Strong mathematical skills, particularly in areas relevant to AI, such as linear algebra, calculus, and probability.

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