Senior Engineer, Applied AI
New
Australia, Canada, Ghana, India, Ireland, New Zealand, Nigeria, Pakistan, South Africa, United Kingdom, United StatesFull-TimeSenior
Salary$160,000—$180,000 USD
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Job Details
- Required Skills
- AWSPythonSQLJavascriptReactMicroservicesDatadogLLM
Requirements
- Professional experience building and maintaining production-grade features in Python or equivalent languages like Node.js.
- Proven track record of designing reliable data models and using relational databases at scale.
- Experience as a key contributor to the design and implementation of large, complex projects.
- Experience refactoring legacy, monolithic systems while designing new services and integration patterns.
- Strong technical communication skills for both technical and non-technical audiences.
- Proven capability in maintaining system quality, observability, privacy, security, and operational risk management.
- Experience with LLM-powered products, AI agents, retrieval systems, or evaluation frameworks is a plus.
- Experience working with model providers like AWS Bedrock, OpenAI, Gemini, or Anthropic.
- Understanding of microservice architecture, RPC architecture, and secure data access patterns (RBAC/Auditability).
- Familiarity with frontend development using JavaScript frameworks like React.
- Knowledge of monitoring tools such as DataDog.
Responsibilities
- Design and productionize foundations that enable safe and pragmatic AI application.
- Build and maintain systems for AI-assisted operations, agentic tools, and retrieval patterns.
- Develop reliable, scalable architecture including data models, workflows, and closed-loop feedback systems.
- Collaborate with engineering, product, design, data, operations, and security stakeholders.
- Create 'paved roads' for secure model access, compliant data pathways, and observability.
- Participate in an on-call rotation to support production systems.
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