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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. AI Engineer - **Company:** Insight Global - **Location:** Chandler, AZ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Software Quality, Databases, Continuous Integration, Distributed Systems, Django Web Framework, Domain Name System (DNS), Fault Tolerance, Monitoring of Systems, Python (Programming Language), PostgreSQL, Linux System Administration, MySQL, Network Architecture, Network Service, Nginx, NoSQL, Performance Tuning, Scrum Methodology, Queueing Systems, RabbitMQ, Cloud Services, Ansible, Prometheus, Data Streaming, Load Balancing, Flask (Web Framework), Large Language Models, Grafana, Multi-Agent Systems, Backend, Containerization, Kubernetes, Infrastructure Automation Frameworks, Low Latency, Apache Kafka, Virtual Agents, Restful APIs, Terraform, Open Network Automation Platform, Splunk, Docker - **Published:** June 28, 2026 - **Apply:** https://www.juju.com/job/00000000gbxkra ## About the Role 7+ years of backend development experience (adjustable for mid-level) Strong Python expertise with frameworks such as Django or Flask Deep understanding of distributed systems, networking, and load balancing concepts Experience with REST API design and development Experience with CI/CD tools and Linux-based environments Hands-on experience with automation and scripting AI / Automation Experience Experience integrating LLMs into backend systems via APIs (OpenAI, Azure OpenAI, etc.) Understanding of agentic AI architectures and autonomous system design Hands-on experience with AI orchestration frameworks (LangChain, Semantic Kernel, AutoGen) Experience designing multi-agent workflows for automation and decision-making use cases Preferred / Nice-to-Have Qualifications Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native architectures Containerization and orchestration (Docker, Kubernetes) Infrastructure as Code tools (Terraform, Ansible) Message queues and streaming platforms (Kafka, RabbitMQ) Database experience (PostgreSQL, MySQL, NoSQL) Monitoring and observability tools (Splunk, Prometheus, Grafana) Network automation and APIs (F5, NGINX, etc.) ## Description Principle AI/ Backend Developers to join a newly formed Agentic AI Product Team focused on building next-generation automation and intelligent systems across network infrastructure. This role will be responsible for designing, developing, and delivering scalable Python-based backend solutions supporting load balancing platforms, infrastructure automation, and AI-driven workflows. The ideal candidate brings a strong backend foundation combined with experience building or integrating LLM-powered and autonomous systems. This is a unique opportunity to help stand up a cutting-edge AI-enabled engineering function focused on improving operational efficiency, resilience, and decision-making across critical network services. Why This Role is Unique Greenfield Agentic AI team within a large enterprise environment Direct impact on network automation and intelligent infrastructure Blend of backend engineering + AI innovation Opportunity to shape standards, frameworks, and architecture from the ground up Key Responsibilities Backend Development Design, develop, and maintain scalable backend applications using Python (Django, Flask, or similar frameworks Build secure, high-performance RESTful APIs to support internal and external service Ensure code quality through standards, peer reviews, and best practices Infrastructure & Automation Develop automation solutions for load balancing and network infrastructure Integrate backend systems with infrastructure tools and platforms (F5, DNS, cloud services) * Build scripts and tools to reduce manual operations and improve efficiency * Design distributed systems that are scalable, fault-tolerant, and highly available * Optimize system performance, latency, and throughput * Enhance CI/CD pipelines for automated build, testing, and deployment * Promote infrastructure-as-code and automation-first design principle AI / Agentic Systems Development (Key Differentiator) Design and implement AI-powered backend services leveraging LLM APIs (e.g., OpenAI, Azure OpenAI) Build and integrate agentic workflows for automation and decision-making use cases Develop multi-agent orchestration frameworks to enable autonomous or semi-autonomous operations Utilize frameworks such as LangChain, Semantic Kernel, or AutoGen to enable AI-driven pipelines Partner with product and architecture teams to define AI-driven solutions aligned to enterprise strategy Collaboration & Delivery Work cross-functionally with Network, Platform, and Architecture teams Participate in Agile ceremonies including sprint planning, standups, and retrospectives Contribute to technical documentation and knowledge sharing ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Post-Quantum Cryptography: Preparing for Q-Day](https://www.wearedevelopers.com/videos/100179-post-quantum-cryptography-preparing-for-q-day) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) - [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)