Junior Full-Stack Engineer

As a Junior Full-Stack Engineer at LMI, your main responsibilities will include developing and updating backend systems for various Python-based applications, writing and deploying Python code, ensuring code quality through unit tests, and collaborating closely with the software development team. You’ll also engage with stakeholders to address software challenges and contribute to innovative solutions that align with our generative AI platform, LIGER™.

To qualify for the Junior Full-Stack Engineer role at LMI, candidates should possess a Bachelor's degree in Computer Science or a related field, alongside 2-5 years of relevant experience. Proficiency in Python development, familiarity with Object Oriented Programming, and a strong understanding of software development practices like Agile methodologies and CI/CD are essential. Additionally, excellent communication skills and an active Secret clearance are preferred.

In the Junior Full-Stack Engineer position at LMI, you will primarily work with Python and web frameworks. You may also gain exposure to Node.js, Postgres, and various machine learning and analytical tools as part of your role in developing applications for our generative AI platform, LIGER™. Experience with GitLab for version control and agile development methodologies is also a vital part of the job.

To stand out as a candidate for the Junior Full-Stack Engineer position at LMI, highlight any relevant projects you've worked on, particularly those involving Python and full stack development. Demonstrating a solid understanding of code quality practices such as unit testing and agile methodologies will also be beneficial. Additionally, having a proactive attitude toward collaboration and creative problem-solving will set you apart in this innovative environment.

The work environment for a Junior Full-Stack Engineer at LMI is dynamic and collaborative. You will have the opportunity to work both independently and as part of a team, contributing to exciting projects involving generative AI. The culture at LMI promotes flexibility, encouraging you to drive initiatives while also engaging with colleagues and stakeholders to come up with innovative solutions.

In answering this question, be specific about your experience with Python, particularly any frameworks you have used. Provide examples of projects where you implemented Python, the challenges you faced, and how you overcame them, showcasing your problem-solving skills and technical know-how.

Discuss your experience with Git, emphasizing how you've used it in previous projects for version control. Share specific examples of collaborative projects where you managed branches, merged changes, and resolved conflicts, demonstrating your ability to work in a team and maintain code integrity.

Explain your understanding of Agile development, including its principles and practices. Provide examples of how you've applied Agile methods in past projects, such as participating in sprints, stand-up meetings, and retrospectives, to highlight your familiarity with the framework and its benefits.

Illustrate your approach to maintaining code quality by discussing practices such as writing unit tests, conducting code reviews, and following coding standards. Include specific instances where you identified and resolved issues in your code, showcasing your attention to detail and commitment to excellence.

Share a specific project experience where you played a key role in a team. Focus on your contributions, collaboration with others, and how you adapted to different viewpoints and challenges. Highlight the outcome and what you learned from the experience to demonstrate your teamwork and communication skills.

Discuss your strategy for keeping up with new technologies, including online courses, workshops, or self-study. Provide examples of new tools or languages you've quickly learned and successfully integrated into your work, illustrating your enthusiasm for continuous learning and adaptability.

Outline a systematic approach to troubleshooting, starting from identifying symptoms to analyzing logs, profiling the application, and potential areas of concern. Provide a real-world example of a performance issue you've faced and how you resolved it to showcase your analytical and problem-solving skills.

Share your approach to managing tight deadlines, emphasizing skills such as prioritization, time management, and communicating with your team. Discuss a specific time when you successfully met a deadline, explaining the strategies that helped you manage your tasks effectively.

Express your enthusiasm for generative AI and its possibilities. Discuss any projects or research you’ve been involved in related to AI, your vision for the future of this technology, and what specific aspects of LIGER™ excited you and aligned with your career goals.

Articulate your career aspirations, balancing ambition with realism. Explain how you plan to grow in your technical abilities and possibly lead projects or mentor others. Emphasize your commitment to continuous improvement and staying updated on industry trends to show your dedication to a career in technology.