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Software Engineer II, AI

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Logo of AARP

AARP

1001 - 5000 employees

Founded 1958

🀝 Non-profit

πŸ₯ Healthcare

πŸ‘₯ B2C

πŸ’° Grant on 2019-08

Non-profit β€’ Healthcare β€’ B2C

AARP is a nonprofit, nonpartisan membership organization that empowers people age 50 and over to choose how they live as they age. It provides member benefits and discounts (AARP Rewards, AARP Smart Picks), consumer resources and educational content on health, money, work, caregiving, travel and more, plus tools and courses (Ask AARP, AARP Skills Builder, webinars). AARP advocates on policy issues such as Social Security and Medicare, runs research and community programs (AARP Foundation, AARP Near You), and offers services including fraud-prevention support (Fraud Watch Network Helpline) and localized events and assistance.

πŸ“‹ Description

β€’ Establishes a technical roadmap for the platform and/or capability strategy and lifecycle that considers value-based outcomes, costs to maintain, supportability, and performance. β€’ Ensures sound integration, data, security, and business architecture design throughout all stages within the platform and/or capability lifecycle. β€’ Provides rapid delivery and development of technical solutions that align with business and/or platform desired outcomes. β€’ Troubleshoots and resolves technical issues related to platform or capability systems, solutions, and services. β€’ Innovates and drives continuous improvements of implementation methodology and technical service offerings based on customer or employee experiences and enterprise objectives. β€’ Participates in a Community of Interest for engineers across all capability and platform teams to share information and strengthen understanding of business needs and technology-based solutions. β€’ Develops and maintains deep technical knowledge and expertise related to domain area systems, solutions, services, and applications.

🎯 Requirements

β€’ Bachelor’s degree (or equivalent experience) in Information Technology, Computer Science, Engineering, or a related field. β€’ 2+ years of experience with Generative AI concepts, including embeddings, large language models (LLMs), retrieval-augmented generation (RAG), vector databases, and tokenization β€’ 3+ years of experience working with public cloud platforms, preferably Amazon Web Services (AWS) β€’ 4+ years of experience with DevOps pipelines, including Git-based repositories (e.g., GitHub, Bitbucket), static and dynamic code analysis, Infrastructure as Code (e.g., AWS CloudFormation), and deployment strategies such as blue/green deployments β€’ 2+ years of experience with agentic systems, including various agent architectures, frameworks such as LangGraph, orchestration patterns, and building/hosting agents (e.g., orchestrator agents, agents as tools) β€’ 3+ years of experience architecting, designing, developing, deploying, and monitoring large-scale distributed and parallel systems using cloud-native technologies (e.g., AWS Lambda, EKS, S3) β€’ 4+ years of hands-on programming experience with languages such as Python, Java, Rust, SQL, and/or Node.js

πŸ–οΈ Benefits

β€’ 401(k) β€’ 100% company-funded pension plan β€’ Health, dental, and vision plans β€’ Life insurance β€’ Paid time off to include company and individual holidays, vacation, sick, caregiving, and parental leave β€’ Performance-based and peer-based recognition β€’ Tuition reimbursement

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