Assoc Programmer Analyst (Software Engineer)

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. 

Skills and Competencies 

• 1-2 years of software engineering experience designing, coding, testing, and deploying backend services or cloud-native applications. 

• Solid coding proficiency in Python or C#, with experience building application programming interfaces and microservices and a working understanding of distributed systems concepts. 

• Hands-on exposure to large language model applications, including retrieval-augmented generation, prompt engineering, or agentic workflows, with a drive to deepen that expertise. 

• Working knowledge of Amazon Web Services, Google Cloud Platform, or Microsoft Azure, including experience deploying applications through automated pipelines. 

• Experience with relational and NoSQL databases, including PostgreSQL, MongoDB, and Redis; familiarity with vector databases, observability tools, and event-driven patterns. 

• Ability to break down well-defined problems, estimate and deliver work reliably, respond constructively to code review feedback, and collaborate effectively with product managers and engineers. 

• Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and improve operational efficiency. 

Education 

• Bachelor’s degree in computer science, Information Systems, Engineering, or a related technical field.

Responsibilities 

Designs and supports backend services and AI-powered features for intelligent data products. 

• Designs, codes, and tests backend services, application programming interfaces, and data or inference pipelines for well-scoped features, with guidance from senior engineers. 

• Delivers assigned tasks and features through deployment, including production monitoring, follow-up support, and resolution of technical issues. 

• Participates in design and code reviews by proposing options, applying engineering standards, and flagging risks or unclear requirements early. 
• Apply machine learning operations practices, including prompt versioning, automated evaluation, deployment pipelines, root cause analysis, and follow-up improvements.