Onsite_Backend Engineer – Agentic AI & LLM Systems in AZ

Job  : OOJ - 27570

Posted Date : 10/14/2026

Experience :

-

Job Type :
Contractual

Location :
Phoenix, AZ

Title:

Senior Backend Engineer – Agentic AI & LLM Systems

Location:

Phoenix, AZ (Onsite)
Work Arrangement:
Onsite

Employment Type:

Contract
Duration: 6 Months
Primary

Skills:

Agentic AI, LLM, Rest API
Job Summary

We are seeking an experienced Senior Backend Engineer specializing in Agentic AI and Large Language Model (LLM) systems to design, develop, and maintain scalable, high-performance backend services and production-grade autonomous AI systems. The ideal candidate will have strong expertise in Node.js, Type Script and/or Go, distributed systems, cloud infrastructure, and agentic AI workflows. The role involves owning shared agentic AI capabilities across multiple products, driving architectural decisions, and delivering reliable, secure, and cost-effective autonomous systems.

The candidate will collaborate with cross-functional teams to establish technical direction, improve system performance, and translate complex business requirements into scalable engineering solutions.

• Design, develop, and maintain high-performance backend services, REST APIs, and microservices for scalable applications.
• Architect, build, and operate production-grade agentic AI systems and shared capabilities used across multiple products and teams.
• Drive technical direction for agentic AI initiatives, defining architecture patterns, autonomy boundaries, and system design principles.
• Design and implement agent frameworks, orchestration layers, planning mechanisms, tool integration, memory management, and evaluation strategies.
• Develop Retrieval-Augmented Generation (RAG) pipelines to improve information retrieval, contextual grounding, and response quality.
• Build and optimize LLM infrastructure, model gateways, inference pipelines, and related AI platform capabilities.
• Implement observability, evaluation, monitoring, and safety mechanisms to ensure the reliability and responsible operation of autonomous AI systems.
• Design and optimize distributed, event-driven architectures using technologies such as Apache Kafka, asynchronous processing, queues, and streaming systems.
• Optimize backend systems for performance, scalability, reliability, availability, and cost efficiency under high workloads.
• Lead technical design reviews and guide engineering teams through architectural trade-offs involving autonomy, safety, scalability, reliability, and cost.
• Collaborate with Dev Ops and platform teams to deploy, manage, and monitor services in cloud environments such as AWS and Google Cloud Platform (GCP).
• Implement engineering best practices for code quality, automated testing, version control, CI/CD, and deployment automation.
• Work closely with frontend engineers and cross-functional stakeholders to define API contracts and ensure seamless system integration.
• Influence technical decisions and align teams across multiple products without requiring formal managerial authority.
• Troubleshoot complex technical issues and deliver reliable solutions in ambiguous and evolving problem spaces.

• Strong proficiency in Node.js, JavaScript, Type Script, and/or Go (Golang).
• Extensive experience designing and developing RESTful APIs, microservices, and scalable backend applications.
• Strong understanding of backend architecture, system design, data pipelines, and software engineering fundamentals.

• Strong experience building and deploying LLM-powered applications, agentic workflows, or advanced machine learning infrastructure.
• Deep understanding of agentic AI concepts, including planning, tool use, memory, orchestration, and evaluation.
• Hands‑on experience with frameworks such…