Demo

Python Developer

Integrated Resources
Boston, MA Full Time
POSTED ON 4/23/2025
AVAILABLE BEFORE 5/17/2025

Position Summary :

We are seeking a dedicated and skilled LLM Application Support Engineer to join our technical team responsible for providing L1, L2, and L3 specialized application support for Large Language Model (LLM)-based applications. The successful candidate will also be responsible for implementing automated testing frameworks for both applications and LLMs specifically. This role requires a solid understanding of LLMs, application support, and automated testing methodologies.

Responsibilities include, but are not limited to, the following :

Application Support :

  • Provide L1, L2, and L3 support for LLM-based applications, ensuring timely resolution of issues.
  • Ensure the scalability and performance of LLM-based applications to handle large datasets and complex queries.
  • Identify opportunities for process improvements and implement innovative solutions to enhance the efficiency and effectiveness of LLM deployments.
  • Monitor application performance and proactively identify potential issues.
  • Troubleshoot and resolve application issues, escalating to higher levels of support when necessary.
  • Collaborate with development teams to address and resolve complex technical issues.
  • Maintain detailed documentation of support activities, including issue resolution steps and best practices.
  • Ensure compliance with Client's data security and regulatory requirements during support activities.
  • Conduct root cause analysis for recurring issues and implement preventive measures.

Automated Testing Frameworks :

  • Develop and implement automated testing frameworks for LLM-based applications.
  • Design and execute automated tests to validate the functionality, performance, and reliability of applications and LLMs.
  • Create and maintain test scripts for unit tests, integration tests, and end-to-end tests.
  • Collaborate with development teams to integrate automated testing into the CI / CD pipeline.
  • Monitor and analyze test results, identifying and reporting defects.
  • Continuously improve automated testing processes and frameworks to enhance test coverage and efficiency.
  • Ensure compliance with Client's data security and regulatory requirements during testing activities.
  • Stay updated with the latest trends and best practices in automated testing and LLM technologies.
  • Basic Qualifications :

  • Bachelor's Degree with 2-4 years of academic / industry experience in application support or development.
  • Preference for candidates with experience in machine learning or LLM-based applications.
  • Preferred Qualifications :

    Technical :

  • Proven experience with core AWS services, including but not limited to EC2, S3, and RDS.
  • Demonstrated proficiency with current software engineering methodologies, such as Agile SDLC approaches, distributed source code control, project management, issue tracking, and CI / CD tools and processes.
  • Proficiency in programming languages such as Python, SQL, R, and JavaScript.
  • Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Solid understanding of container strategies such as Docker and ECS.
  • Excellent skills and deep knowledge of databases such as Postgres, Elasticsearch, and Redshift, including distributed database design, SQL vs. NoSQL, and database optimizations.
  • Experience developing web applications in frameworks like Streamlit, Shiny, Vue, React, etc.
  • Proficiency with predictive modeling approaches and / or experience working with large language models.
  • Experience with testing frameworks and automated testing tools (e.g., pytest, Selenium, JUnit).
  • Non-Technical :

  • Excellent problem-solving skills and attention to detail.
  • Strong communication and interpersonal skills.
  • Ability to work effectively in a collaborative, fast-paced environment.
  • Must have a strong capacity for independent thinking and the ability to grasp underlying scientific questions.
  • Must be effective in a dynamic environment while adapting to changing priorities and have excellent written and verbal communication and presentation skills.
  • Must have excellent time management and interpersonal skills.
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