Senior Software Engineer LLM

Description - External

Caring. Connecting. Growing together.

Primary Responsibilities:

• LLM/GenAI Integration
• Assist in integrating Large Language Models (LLMs) and Generative AI into applications and workflows
• Support model fine-tuning and prompt engineering for specific use cases
• Python Development
• Develop and maintain backend services and automation scripts using Python
• Collaborate with senior developers to build scalable and maintainable codebases
• Write unit tests and participate in code reviews to ensure code quality
• API Development
• Build and consume RESTful APIs for data exchange between services and AI models
• Ensure proper documentation and versioning of APIs
• Troubleshoot and optimize API performance and reliability
• Google ADK (AI Development Kit)
• Use Google ADK tools to experiment with and deploy AI models
• Integrate Googles AI services (e.g.Vertex AI) into existing applications
• GCP Cloud Infrastructure
• Deploy and manage applications on Google Cloud Platform (GCP)
• Use services like Cloud Functions, Cloud Run for cloud-native development
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Qualifications - External

Required Qualifications:

• Undergraduate degree or equivalent experience
• Experience with Python programming for backend development, scripting, and automation
• Basic understanding of cloud platforms, especially Google Cloud Platform (GCP) services like Cloud Functions, Cloud Run
• Familiarity with Agentspace or similar agent-based frameworks for building autonomous workflows
• Exposure to Google AI Development Kit (ADK) or similar tools for deploying AI models
• Provem API development and integration skills, including RESTful API design, implementation, and documentation

Preferred Qualifications:

• Experience with prompt engineering and fine-tuning LLMs for specific tasks
• Experience working in cross-functional teams and contributing to AI/ML product development
• Knowledge of CI/CD pipelines and DevOps practices for deploying AI applications
• Understanding of security best practices in API and cloud environments
• Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes
• Exposure to version control systems (e.g., Git) and collaborative development workflows