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)
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
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
-Required Qualifications
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)