Software Engineer III - Applied AI

Quick Facts

Software Engineer III focused on Applied AI, building generative AI and agentic AI solutions end-to-end for production environments.

Description

Serve as a seasoned member of an agile team to design and deliver trusted generative and agentic AI applications. Build agent workflows (including tool-using and multi-agent collaboration), implement RAG and orchestration pipelines, evaluate model/agent quality, and integrate with internal systems—while ensuring responsible AI practices, security controls, and scalable production code.

Responsibilities

• Build and deliver generative AI and agentic AI applications end to end, from prototype through production
• Develop agentic workflows, including tool-using agents and multi-agent collaboration
• Contribute to autonomous AI capabilities with guardrails, security controls, and responsible AI practices
• Implement orchestration and Retrieval-Augmented Generation (RAG) pipelines and integrate AI solutions with internal systems
• Build and execute model and agent evaluations to measure and maintain solution quality
• Process and analyze large datasets supporting AI solutions and applications
• Develop components for concurrent, multi-user, and real-time applications
• Create secure, high-quality production code and deploy on AWS using CI/CD practices
• Leverage enterprise-authorized AI-assisted development tools while validating outputs for correctness, performance, and security
• Collaborate with business users to gather feedback and rapidly iterate
• Contribute to engineering communities and a culture of diversity, opportunity, inclusion, and respect

Requirements

• Formal training or certification on software engineering concepts and 3+ years of applied experience
• Strong Python programming skills with hands-on generative AI and AI/ML frameworks
• Hands-on experience with agent frameworks such as LangGraph, Google Agent Development Kit (ADK), or similar technologies
• Practical experience with LLMs, prompt engineering, skill/tool development, and RAG
• Experience with model/LLM evaluation and benchmarking
• Experience working with large datasets
• Understanding of concurrent, multi-user, and real-time application design
• Experience with AWS or another major cloud platform
• Hands-on experience using enterprise-authorized AI-assisted software development tools with validated correctness, performance, and security
• Understanding of responsible AI use, including data sensitivity and secure handling of inputs and outputs
• Solid understanding of SDLC and agile practices such as CI/CD, application resiliency, and security

Benefits

• Competitive total rewards package, with base salary determined by role, experience, skills, and location
• Potential commission-based pay and/or discretionary incentive compensation for eligible roles
• Comprehensive health care coverage and on-site health and wellness centers
• Retirement savings plan
• Backup childcare, tuition reimbursement, mental health support, financial coaching, and more
• Additional details on compensation and benefits provided during the hiring process