Sr. AI Engineer

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

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.)