Python Jobs in Cambridge, MA

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.