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Senior Applied AI Engineer - Production Systems & Innovation

Jobgether • United States
Remote
This Job is No Longer Active This position is no longer accepting applications

Design, build, and scale production-ready AI systems. Collaborate cross-functionally to transform complex challenges into reliable, impactful tech solutions. Influence modern AI engineering and deployment in a fast-paced environment.

Key Highlights
Build and maintain production AI applications
Collaborate with cross-functional teams to solve complex challenges
Influence AI engineering practices and product direction
Key Responsibilities
Design, develop, and improve production-grade AI systems
Build and maintain AI applications, including agentic workflows and AI-powered product features
Develop AI solutions using large language models, retrieval systems, APIs, and backend services
Design and implement retrieval-augmented generation (RAG) architectures
Create backend services and infrastructure for AI systems to interact with business workflows and data sources
Develop evaluation frameworks, testing processes, monitoring systems, and observability solutions
Monitor and optimize AI systems for performance, latency, cost efficiency, and operational stability
Collaborate with teams to translate complex requirements into scalable solutions
Establish strong software engineering practices around testing, deployment, CI/CD, code reviews, and maintainable AI development workflows
Share knowledge, mentor peers, and contribute to improving AI engineering standards
Technical Skills Required
Python AI-powered applications Backend engineering
Benefits & Perks
Fully remote work environment within the United States
Competitive compensation package ranging from $150,000 to $200,000 annually

Job Description

This role focuses on building and scaling production-ready AI systems that deliver meaningful business value.You will design intelligent workflows, agent-based solutions, and AI-powered product experiences used by real customers.The position combines advanced AI development with strong software engineering practices, emphasizing reliability, scalability, and maintainability.You will work across LLM applications, retrieval systems, backend services, evaluation frameworks, and AI infrastructure.This is an opportunity to influence how modern AI solutions are engineered and deployed in a fast-moving environment.
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