The Full Stack Engineer will build, test, and maintain the models, agentic solutions and infrastructure that power our solutions.
The ideal candidate has a solid foundation in software development, a passionate interest in AI, and a relentless curiosity to learn. The Full Stack Engineer is an experienced individual contributor within a project team.
Your Day to Day
- Contribute to the development of AI/ML models and agentic applications by writing, testing, and documenting code under the guidance of senior team members.
- Assist in preparing and processing data for model training and evaluation. Help build and maintain data pipelines to support our AI services.
- Participate in the testing and validation of AI models to ensure they are accurate and performant. Assist in monitoring and maintaining deployed applications.
- Work closely with other engineers, data scientists, and product managers in an agile environment to deliver on team goals.
- Actively learn from senior members of the team, participate in code reviews, and continuously develop your skills in AI, machine learning, and software engineering.
- Uphold high standards for code quality, testing, and documentation. Champion software engineering best practices within the team. Deliver code that is secure, reliable and supportable.
- Demonstrate a strong curiosity for leveraging AI to improve personal and team productivity. Actively find and implement AI-powered tools and workflows to make your own role and development processes more efficient. Effectively use AI code assistants to deliver code.
- Ensure application diagrams and documentation stay current and relevant.
- Adherence to agile development methodologies.
What You Will Bring
Education
Bachelors in a relevant field of work or an equivalent combination of education and work-related experience.
Experience
Typically, a minimum of 5+ years of software engineering experience, progressive work-related experience with demonstrated proficiency in multiple disciplines, technologies, or processes related to the position.
Some professional or academic experience in software development, preferably using Python.
Demonstrated interest in AI and machine learning through coursework, personal projects, or internships.
Solid understanding of core computer science principles and software engineering fundamentals.
A collaborative mindset and strong communication skills.
Experience working with large datasets and complex data pipelines.
Ability to work effectively in a collaborative, agile team environment.
An innate curiosity and a portfolio or history that demonstrates a commitment to continually learning new technologies as they evolve.
Technical Skill & Knowledge
Strong programming skills in Python.
Foundational knowledge of machine learning concepts and algorithms. Familiarity with common libraries like Scikit-learn, Pandas, or NumPy is a plus.
Interest in learning deep learning frameworks such as TensorFlow or PyTorch.
Good analytical and problem-solving skills with keen attention to detail.
Familiarity with Git and version control workflows.
Theoretical understanding of machine learning, deep learning, and natural language processing (NLP).
Hands-on experience with at least one major cloud provider (GCP, AWS, Azure) and their associated AI/ML services.
Experience with both SQL and NoSQL databases, and proficiency with data processing technologies like Spark is a plus.
Understanding of microservices architecture, API design (e.g., REST, gRPC), and containerization technologies (e.g., Docker, Kubernetes).
Travel - 10%
Location - Our hybrid work structure is an expectation of three (3) days a week in office. This expectation may be adjusted to evolve with the changing needs of the business.
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