Senior Python Software Engineer

Responsibilities:

• Develop clean, high-quality Python code that is easy to read and maintain.
• Solve complex problems by analyzing and isolating issues efficiently.
• Champion best practices in coding and serve as a subject matter expert.
• Design and implement solutions to support key business needs.
• Engineer components and common services using Python.
• Produce system design documents and lead technical walkthroughs.
• Collaborate effectively with both technical and non-technical partners to achieve project goals.
• Continuously improve the architecture to enhance system performance and scalability.
• Provide technical guidance and mentorship to team members, fostering a culture of continuous improvement

Basic Qualifications:

• 5+ years of experience in designing and building solutions using distributed computing.
• Proven experience in implementing and maintaining web applications in large-scale environments.
• Experience working with business stakeholders and users, providing research direction and solution design.
• Experience with CI/CD pipelines to automate the deployment and testing of software.
• Proficient programming skills in high-level languages, particularly Python.
• Solid knowledge of cloud platforms such as Azure and AWS.
• Experience with SQL and NoSQL such as Azure Cosmos DB and PostgreSQL
• Ability to quickly define and prototype solutions with continual iteration within challenging timelines.
• Strong communication and documentation skills for both technical and non-technical audiences.
• Generative AI Expertise: Deep understanding of generative AI models, including experience with large language models (LLMs) such as GPT, BERT, and Transformer architectures.
• Embedding Techniques: Proficiency in creating and utilizing embeddings for various applications, including semantic search and recommendation systems.
• Vector Search and Retrieval: Familiarity with vector search techniques and embedding models for efficient data retrieval and analysis.

Preferred Qualifications:

• Machine Learning and NLP: Experience with machine learning models and natural language processing techniques to enhance AI-driven solutions.
• Cloud Platforms: Knowledge of cloud services such as AWS, Azure, or Google Cloud for deploying and managing AI solutions.
• Collaboration and Leadership: Ability to lead, train, and mentor team members effectively.
• Proven experience of working with Kensho SparkAssist for your daily workflows as well as being a Owner or Co-Owner
• Working on inner-source and open-source AI projects and libraries.