
Senior Software Engineer, Applied AI
Posted Aug 26

Posted Aug 26
This is a fully remote position, open to applicants in United States.
β’ Create and develop production-level AI agent systems, which encompass multi-agent workflows, orchestration layers, and associated services.
β’ Design retrieval, context, and memory systems that anchor AI outputs and facilitate dependable multi-step workflows.
β’ Build AI-driven decision-support systems that adhere to accuracy, traceability, and explainability standards within healthcare and regulated settings.
β’ Construct distributed backend services, event-driven workers, job pipelines, APIs, and relational data models.
β’ Develop high-quality user experiences utilizing React and TypeScript.
β’ Implement AI quality-assurance methodologies, including automated assessments, regression testing, groundedness evaluations, and compliance safeguards.
β’ Assess models and frameworks based on criteria such as accuracy, latency, reliability, privacy, security, and cost-effectiveness.
β’ Guide engineers and contribute to enhancing engineering standards throughout the team.
β’ Collaborate closely with the Product team, taking ownership of outcomes from problem identification and specification to validation and delivery.
β’ A minimum of five years of software engineering experience, including responsibility for complex systems from design through to production.
β’ Practical experience in building and managing production AI applications, beyond just prototypes.
β’ Direct experience with agentic software development utilizing AI coding agents.
β’ In-depth knowledge in at least one key area, such as Python backend and distributed systems, or React and TypeScript product engineering.
β’ Capability to work across the entire system spectrum.
β’ Familiarity with retrieval, embeddings, context, memory, evaluation, monitoring, or AI agent architectures and workflows.
β’ Strong decision-making skills in testing, monitoring, failure management, privacy, security, access control, and data governance.
β’ Excellent communication skills and the ability to collaborate effectively with both technical and non-technical teams.
β’ Must be authorized to work in the United States.
β’ Must not require employer visa sponsorship now or in the future.
β’ Alternative medicine coverage.
β’ Flexible PTO.
β’ Up to 16 weeks of paid parental leave.
β’ Paid holidays.
β’ 401k program.
β’ Transportation perks.
β’ Education reimbursement.
β’ Two days of paid paw-ternity leave.
β’ Standard health and wellness benefits.
Arista Networks
Coforma
Platform.sh
Arista Networks
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