Lead Python Engineer

About the Role

Key Responsibilities

• Design, develop, test and deploy large scale AI applications using Python and relevant AI and cloud technologies
• Use LLMs for inference, summarization, chatbots, RAG, and other upcoming techniques
• Build integrations with internal/external MicroServices and other data sources to build an application pipeline
• Implement event driven architecture using messaging technologies
• Collaborate with various partners within the enterprise to reuse and build reusable solutions
• Lead complex technology initiatives including those that are companywide with broad impact
• Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions
• Design, code, test, debug, and document for projects and programs
• Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives
• Make decisions in developing standard and companywide best practices for engineering and technology solutions
• Collaborate and consult with key technical experts, senior technology team, and external industry groups
• Lead projects, teams, or serve as a peer mentor
• Troubleshoot and resolve complex technical issues related to applications and models

Requirements

• 5+ years of Software Engineering experience, or equivalent demonstrated through work experience, training, military experience, or education
• 3+ years of experience with Python
• 2+ years of experience with MongoDB
• 2+ years of experience with MicroServices to implement and consume REST APIs
• 1+ years of data visualization experience

Nice to Have

• Experience with graphing technologies using Python, Neo4j, etc.
• Experience in an enterprise setting using Python frameworks such as NumPy, Pandas, PyMongo, PyTest, MagicMock, Fast API, Flask, Matplotlib, TensorFlow, PyTorch
• MongoDB experience including writing complex queries and data aggregation
• Knowledge of LLMs such as Gemini, GPT4o, Claude and implementation patterns with GitHub Copilot
• Experience with enterprise technologies such as Single Sign On, secure webservices, Kafka/Solace
• Experience building highly available systems, including performance tuning, scalability load testing, and resiliency
• Experience with containers and cloud platforms such as OpenShift, VMWare Tanzu, Google Cloud
• Experience with tools such as GitHub, IDEs (Visual Studio), Confluence, JIRA
• Experience with CI/CD technologies like Gradle, Jenkins, Artifactory, SonarQube
• Experience with Agile Engineering practices
• Bachelor's or master's degree in computer science, artificial intelligence or a related field
• Certification in AI, machine learning or a related field
• Banking/Financing domain or other regulated industry experience

Qualifications

• Bachelor's or master's degree in computer science, artificial intelligence or a related field
• Certification in AI, machine learning or a related field

Benefits & Perks

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement