Senior Software Engineer, AI/ML

Essential Duties & Responsibilities: 
Performs a combination of duties in accordance with departmental guidelines: 

• Evaluates defined client area requirements and processes (e.g., new enhancements or maintenance) and detailed designs and develops moderate to complex application program solutions. 

• Ensures quality of application solutions by performing code review with peers, creating documentation, implementing code, verifying program logic, performing defect root cause analysis, and completing unit and integration testing. Participates in systems testing with other IT staff. 

• Assists with the high level design of solutions. Consults with the client area to analyze system requirements and capabilities, identify associated risks, and resolve problems. May act as a liaison between clients and applications area. 

• Researches and evaluates new and/or alternative solutions, and recommends the most efficient and cost effective solution for the systems/program design and develops system specifications and procedures. May include integrating vendor applications and consulting resources into existing applications and resources. 

• In conjunction with operations area technical staff, supports the implementation of the application into production and testing environments. May confer with technical personnel to identify and resolve issues. 

Reporting Relationship: Typically Manager or above 

Skills, Knowledge and Abilities 
Key Required Skills & Experience: 

• Senior-level proficiency in Python, with experience in AI/ML development 

• Strong understanding of Large Language Models (LLMs) and their operational mechanics 

• Experience developing AI Agents on Google Vertex AI using Gemini or OpenAI 

• Expertise in Prompt Engineering Best Practices 

Hands-on experience with: 

• Google Agent Development Kit 

• LangChain and LangGraph 

Knowledge of Context Filtering and Prompting Security Best Practices 

Familiarity with observability and debugging tools: 

• LangSmith 

• LangFuse 

• Phoenix or Arize 

Experience with Eval AI Testing and model evaluation workflows 

Education and Experience 
1. Bachelor's degree in Computer Science, or related discipline, or equivalent work experience.

2. Typically a minimum four years of application program development experience.

3. Applicable certificates preferred. 

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