Python Developer
Job Description: Job Title: Python Developer
Location: Location: 100% Onsite – Cambridge, Lawrenceville, San Diego, Brisbane, or Seattle Sites Only (strong preference for Cambridge MA)
Top Skills:
- Proficiency in programming languages such as Python, SQL, R, and JavaScript.
- Experience developing web applications in frameworks like Streamlit, Shiny, Vue, React, etc.
- Proven experience with core AWS services, including but not limited to EC2, S3, and RDS.
- BioPharma experience preferred
Note: The interview process for this role will require a real-time coding assignment. AI assisted interview technologies are strictly forbidden for all interviews.
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.
Job Description: Job Title: Python Developer
Location: Location: 100% Onsite – Cambridge, Lawrenceville, San Diego, Brisbane, or Seattle Sites Only (strong preference for Cambridge MA)
Top Skills:
- Proficiency in programming languages such as Python, SQL, R, and JavaScript.
- Experience developing web applications in frameworks like Streamlit, Shiny, Vue, React, etc.
- Proven experience with core AWS services, including but not limited to EC2, S3, and RDS.
- BioPharma experience preferred
Note: The interview process for this role will require a real-time coding assignment. AI assisted interview technologies are strictly forbidden for all interviews.
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.
