Software Engineer II, AI

This is a fully remote position, open to applicants in Washington.

📋 Description

• Develops a technical roadmap for the platform and/or capability strategy and lifecycle, focusing on value-driven outcomes, maintenance costs, supportability, and performance.

• Guarantees effective integration, data, security, and business architecture design throughout all phases of the platform and/or capability lifecycle.

• Facilitates the swift delivery and development of technical solutions that correspond with business and/or platform objectives.

• Diagnoses and resolves technical challenges related to platform or capability systems, solutions, and services.

• Innovates and promotes continuous enhancements to implementation methodologies and technical service offerings based on customer or employee feedback and enterprise goals.

• Engages in a Community of Interest for engineers across all capability and platform teams to exchange information and deepen understanding of business requirements and technology-driven solutions.

• Cultivates and sustains extensive technical knowledge and proficiency concerning domain area systems, solutions, services, and applications.

⛳️ Requirements

• Bachelor’s degree (or equivalent experience) in Information Technology, Computer Science, Engineering, or a related discipline.

• Over 2 years of experience with Generative AI concepts, covering embeddings, large language models (LLMs), retrieval-augmented generation (RAG), vector databases, and tokenization.

• More than 3 years of experience with public cloud platforms, ideally Amazon Web Services (AWS).

• At least 4 years of experience with DevOps pipelines, involving Git-based repositories (e.g., GitHub, Bitbucket), static and dynamic code analysis, Infrastructure as Code (e.g., AWS CloudFormation), and deployment strategies like blue/green deployments.

• Over 2 years of experience with agentic systems, including various agent architectures, frameworks such as LangGraph, orchestration patterns, and the building/hosting of agents (e.g., orchestrator agents, agents as tools).

• More than 3 years of experience in architecting, designing, developing, deploying, and monitoring large-scale distributed and parallel systems using cloud-native technologies (e.g., AWS Lambda, EKS, S3).

• At least 4 years of hands-on programming experience with languages such as Python, Java, Rust, SQL, and/or Node.js.

🏝️ Benefits

• 401(k)

• 100% company-funded pension plan

• Health, dental, and vision plans

• Life insurance

• Paid time off including company and individual holidays, vacation, sick leave, caregiving, and parental leave

• Performance-based and peer-based recognition

• Tuition reimbursement