Forward Deployed Engineer - Software Development Engineer – Artificial Intelligence (AI) - #4883

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.
Adaptability and Growth Expectation

As our organization continues to evolve and grow this role may require flexibility in responsibilities and duties. Employees should expect that their role may expand shift or be modified to meet changing business needs strategic priorities and organizational objectives.

This may include:

• Participating in cross-functional AI and software engineering initiatives.
• Learning and adopting emerging AI technologies software frameworks and engineering practices.
• Supporting enterprise modernization and automation initiatives.
• Contributing to special projects or temporary assignments as needed.

These job duties summarize the primary responsibilities of the position and are not intended to be a comprehensive listing of all duties. Responsibilities may change based on business needs.

Required Qualifications

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/TypeScript.
Experience working with AI or machine learning frameworks such as PyTorch TensorFlow Scikit-learn Hugging Face LangChain 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.

Working Conditions

Standard office or hybrid work environment depending on company policy.
Frequent use of software development environments AI/ML frameworks cloud platforms collaboration tools and engineering systems.
May occasionally support production incidents software releases or project deadlines outside normal business hours.
Works independently on assigned projects while receiving guidance and technical direction from senior engineers and engineering leadership.

What We Do

GRAIL is a healthcare company whose mission is to detect cancer early when it can be cured. GRAIL is using the power of high-intensity sequencing population-scale clinical studies and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology and to develop and commercialize pioneering products.

Why Work With Us

Everything we do is guided by our mission to detect cancer early when it can be cured. It’s the reason we’re here and it’s no small task. The right people make all the difference. That’s why we’re looking for those who strive to share their knowledge contribute their skills inspire each other and commit to something bigger than themselves.

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