AI Engineer

ffive; Hyderabad; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

F5 is seeking an AI Engineer for Customer Success & Services to design, build, and operate core ML/AI systems powering self-service and agent assist. You will own model lifecycle, MLOps, and safety features while collaborating with Product, Security, and external platforms to ship production-grade solutions.

You will lead full-stack development efforts across frontend (React/Next.js, TypeScript) and backend (Java Spring Boot, Hibernate) and contribute to cloud deployments on Azure or AWS.

Qualifications

• Experience designing AI systems for scalable applications.
• Knowledge of model lifecycle, deployment and monitoring (MLOps).
• Proficiency in Java/Python and modern frontend/backend stacks.

Responsibilities

• Define architecture and roadmap for AI capabilities in support workflows (RAG/LLM).
• Lead end-to-end model lifecycle: data, training, evaluation, deployment, monitoring.
• Build production ML services and APIs with scalable inference and observability.
• Implement safety, privacy, governance controls for generative systems.

Skills

ML/AI engineering

Python

Java

React

TypeScript

MLOps

CI/CD

Observability

Tools

Docker

Kubernetes

Terraform

Azure

AWS

Job description

AI Engineer - Customer Success & Services (F5)

Location: Hybrid ( Hyderabad )

Why this role matters

As F5 scales its SaaS and subscription offerings, intelligent automation and AI-driven experiences across support and success workflows are mission-critical. The AI Engineer will design, build, and operate the core ML/AI systems that power self-service, agent assist, knowledge automation, routing, summarization, and safety/observability tooling - delivering measurable improvements in CSAT, deflection, MTTR and agent productivity.

Position summary

You will lead the technical vision and delivery for AI systems across the Customer Success & Support portfolio (myF5, case management, knowledge, omni-channel). You'll translate product needs into robust machine learning architectures, own model lifecycle and MLOps , implement safe RAG/LLM systems and observability, and partner closely with Product, Support Ops, Security/Compliance, and external vendor platforms to ship production-grade solutions. You are both a hands‑on engineer able to deliver production code and an influencer who mentors engineers and sets engineering standards.

Key responsibilities

• Define technical architecture and roadmap for AI capabilities in support workflows: retrieval‑augmented generation (RAG), LLM‑based assistants, intent classification, summarization, knowledge generation/maintenance, and conversational systems.
• Lead end-to-end model lifecycle: data pipelines, training, evaluation, fine‑tuning, validation, deployment and continuous monitoring ( MLOps ).
• Build and operate production‑quality ML services and APIs (scalable inference, caching, batching, latency SLAs); write performant , well‑tested code ( pri marily Python).
• Design and implement safety, pri vacy, and governance controls for generative systems: hallucination mitigation, provenance/explainability, access control, logging/audit, and data protection (including FedRAMP/GovCloud considerations where required).
• Full-Stack Development: Design, develop, and maintain scalable systems, combining frontend development using React/Next.js with TypeScript and backend development with Java (S pri n g Boot, Hibernate) and additional backend languages like Node, Python, or Go.
• Backend Expertise with Java: Build high-performance, scalable backend systems using modern Java frameworks (S pri n g Boot, Hibernate). Ensure APIs, microservices, and integrations are robust, efficient, and secure.
• Cloud Services: Implement and maintain cloud‑native applications on Azure or AWS, leveraging managed services such as computing, networking, databases (e.g., Postgres, DynamoDB, Cosmos DB), and object storage (e.g., S3, Azure Blob).
• Proficient in implementing robust testing strategies for Java applications using frameworks such as JUnit, TestNG, Mockito, Selenium, and Cucumber.
• Event-Driven Architecture: Design and implement event-driven systems using tools such as Solace, Kafka, or AWS SNS/SQS, ensuring real‑time communication and asynchronous workflows.
• DevOps & CI/CD: Create and maintain CI/CD pipelines with tools like GitHub Actions, Azure DevOps, or Jenkins, streamlining deployment processes.
• Infrastructure as Code ( IaC ) : Utilize IaC tools like Terraform, ARM, or Bicep to manage cloud configurations and provision reliable infrastructure.
• Containerization & Orchestration: Develop and deploy scalable containerized applications using Docker and Kubernetes (e.g., AKS/EKS).
• Integrate AI components with platform systems (Salesforce Service Cloud / Experience Cloud, myF5 portal, search engines like Coveo ), and with Azure/AWS cloud services and data platforms.
• Instrument KPIs and observability for AI features (deflection rate, CSAT impact, SLA compliance, model accuracy, latency, drift)-use metrics to drive iterations.
• Prototype, experiment, and evaluate new models and approaches; maintain a "research produc"

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.

Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.

Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.