Forward Deployed Engineer – Software Development Engineer – Artificial Intelligence, AI

Responsibilities:

• Design, develop, test, deploy, and maintain AI-enabled software applications, machine learning services, APIs, and enterprise software solutions.
• Develop software that leverages artificial intelligence, machine learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and other modern AI capabilities to improve business processes and user experiences.
• Collaborate with Product Management, Data Science, Engineering, and business stakeholders to translate functional requirements into scalable technical solutions.
• Implement high-quality, maintainable, and secure software following established software engineering, AI development, and coding standards.
• Contribute to AI model integration, prompt engineering, model evaluation, testing, monitoring, and deployment activities.
• Participate in software architecture discussions, design reviews, code reviews, and technical planning sessions.
• Troubleshoot, analyze, and resolve moderately complex software, AI, integration, and platform issues.
• Develop automated tests, CI/CD pipelines, and deployment processes to improve software quality and delivery efficiency.
• Evaluate new AI frameworks, libraries, cloud services, and engineering tools to improve development productivity and product capabilities.
• Contribute to technical documentation, design specifications, user training, knowledge sharing, and engineering best practices.
• Partner with Quality, Regulatory, Security, Privacy, and Compliance teams to support secure, reliable, and compliant software development.
• Support production operations, incident response, defect resolution, and continuous improvement initiatives.
• Participate in cross-functional AI and software engineering initiatives.
• Learn and adopt emerging AI technologies, software frameworks, and engineering practices.
• Support enterprise modernization and automation initiatives.
• Contribute to special projects or temporary assignments as needed.

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• Typically 3–5 years of professional software development experience, including experience developing enterprise applications or AI-enabled software solutions.
• Experience with software development using Python and one or more programming languages such as Java, C#, C++, or JavaScript/Type Script.
• Experience working with AI or machine learning frameworks such as PyTorch, Tensor Flow, Scikit-learn, Hugging Face, Lang Chain, OpenAI APIs, Azure OpenAI, Amazon Bedrock, or similar technologies is preferred.
• Working knowledge of cloud computing platforms (AWS, Azure, or GCP), APIs, microservices, containers, and modern software development practices.
• Experience with CI/CD pipelines, source control systems, Agile development methodologies, and automated testing.
• Familiarity with databases, data engineering concepts, REST APIs, and software integration.
• Experience working in healthcare, biotechnology, diagnostics, life sciences, or regulated environments is preferred.
• Working knowledge of applicable security, privacy, and regulatory requirements relevant to software development, including:
• Cybersecurity fundamentals and secure software development practices
• HIPAA and protection of sensitive data
• FDA-regulated software environments, software validation, and data integrity principles (preferred)
• Solid software engineering skills with the ability to develop scalable, maintainable, and reliable software solutions.
• Working knowledge of artificial intelligence, machine learning, Generative AI, and modern AI development techniques.
• Strong analytical and problem-solving skills with the ability to troubleshoot technical issues independently.
• Effective collaboration skills with cross-functional engineering, product, and business teams.
• Strong written and verbal communication skills with the ability to explain technical concepts clearly.
• Ability to learn new technologies quickly and adapt to changing business priorities.
• Demonstrates ownership, accountability, and commitment to delivering high-quality software.
• Continuous learning mindset with interest in emerging AI technologies and engineering best practices.

Demonstrates expertise in developing AI-enabled software applications and machine learning services, with a strong focus on secure and compliant software development practices. Proficient in leveraging modern AI frameworks and cloud platforms to enhance business processes and user experiences.