AI Backend Engineer, Artificial Intelligence (AI) Required, Work From Home

This is a Fully Remote Job

About Our Client:

The organization operates within the artificial intelligence sector, focusing on developing AI-driven decision-making, automation, and orchestration systems. It addresses challenges related to latency, correctness, reliability, and cost in AI production environments. The team supports scalable, reliable AI systems used by a global user base.

About the Opportunity:

The AI BACKEND ENGINEER is responsible for building and maintaining backend systems that integrate AI models with applications and users. This role ensures AI workflows are efficient, reliable, and scalable, directly impacting the performance and availability of AI-powered services. The engineer collaborates with cross-functional teams to deliver production-ready AI capabilities that enhance global customer and internal processes.

Responsibilities:

• Build and operate backend systems supporting AI-powered insurance workflows.
• Design and implement AI orchestration layers connecting models, APIs, and business logic.
• Develop inference pipelines for LLM-based and AI-assisted automation.
• Optimize latency, throughput, and cost for AI services.
• Define stable service boundaries between backend, ML components, and product APIs.
• Implement observability including logging, metrics, tracing, and alerting.
• Debug and resolve production issues in distributed AI systems.
• Collaborate with frontend, product, operations, and ML teams to deliver features.
• Continuously improve system reliability, scalability, and performance.

Requirements:

• Strong backend engineering experience in production environments.
• Required experience with artificial intelligence technologies.
• Experience building or operating high-throughput, low-latency services.
• Familiarity with AI systems such as LLMs, embeddings, or AI workflows.
• Experience with distributed systems and production debugging.
• Strong understanding of APIs, data flows, and system design.
• Proficiency with observability tools including logging, monitoring, and tracing.
• Ownership mindset with a bias toward shipping.
• Experience working in fast-paced, globally distributed teams.
• Knowledge of tech stack including Anthropic, Claude, AI tools, Docker, Kubernetes, LLM APIs, Node.js, NoSQL, OpenAI, open-source models, Python, and SQL.

Pay Range and Compensation Package:

• USD 140000 - USD 200000 yearly

Benefits & Perks:

• Medical insurance
• Dental insurance
• Vision insurance

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.