Engineer III - AI Specialist

at F5 · Enterprise · Hyderabad, India

This role focuses on designing, developing, and deploying AI-powered services and agent-driven workflows for F5 products. The engineer will build intelligent agents using GPT models, maintain internal AI systems, and collaborate with various teams for integration. Responsibilities include developing observability tools, optimizing CI/CD pipelines with AI automation, and exploring emerging AI technologies. The role also involves providing technical leadership and defining development lifecycle processes for AI-driven applications.

What you'd actually do

  1. Design, develop, and deploy services powered by the latest AI models to enable agent-driven workflows for F5 products, ensuring scalability and ease of use.
  2. Build intelligent agents and design workflows utilizing GPT models for automation and advanced capabilities in F5 systems.
  3. Maintain, optimize, and support F5’s internal AI systems, including GPT-based implementations, ensuring high availability and scalable performance.
  4. Collaborate with product teams, IT departments, and vendors to integrate AI-driven agents and workflows across diverse system environments.
  5. Develop observability tools, monitoring systems, and automation frameworks to enhance AI model reliability.

Skills

Required

  • Python
  • JavaScript
  • Go
  • Shell scripting
  • Kubernetes
  • Docker
  • Azure
  • AWS
  • GCP
  • Terraform
  • Ansible
  • Helm
  • PostgreSQL
  • MS SQL
  • MongoDB
  • RESTful APIs
  • Prometheus
  • Grafana
  • Datadog
  • Apache Spark
  • Airflow
  • Dask
  • GPT models
  • agentic workflows
  • GPT architectures
  • reinforcement learning
  • TensorFlow
  • PyTorch
  • Keras
  • Hugging Face Transformers
  • ethical AI principles
  • security best practices for AI model deployment
  • organizational governance policies
  • compliance standards

Nice to have

  • RASA
  • Dialogflow
  • LangChain
  • OpenShift
  • GitLab
  • Jenkins
  • MLOps practices

What the JD emphasized

  • agent-driven workflows
  • intelligent agents
  • GPT models
  • AI-driven agents and workflows
  • AI model reliability
  • AI-focused automation
  • agentic workflows

Other signals

  • design and develop services powered by AI models
  • build intelligent agents and design workflows
  • maintain and optimize internal AI systems
  • integrate AI-driven agents and workflows
Read full job description

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.

Primary Responsibilities

  • Design, develop, and deploy services powered by the latest AI models to enable agent-driven workflows for F5 products, ensuring scalability and ease of use.
  • Build intelligent agents and design workflows utilizing GPT models for automation and advanced capabilities in F5 systems.
  • Maintain, optimize, and support F5’s internal AI systems, including GPT-based implementations, ensuring high availability and scalable performance.
  • Collaborate with product teams, IT departments, and vendors to integrate AI-driven agents and workflows across diverse system environments.
  • Develop observability tools, monitoring systems, and automation frameworks to enhance AI model reliability.
  • Coordinate with platform teams to improve CI/CD environments with AI-focused automation and ensure best practices.
  • Continuously explore emerging AI technologies and frameworks to integrate innovative solutions into F5 products.
  • Ensure compliance with architecture standards and security policies while addressing audit inquiries.
  • Define development lifecycle processes and workflows to streamline AI-driven application creation.
  • Provide technical leadership and establish guidelines for integrating AI technologies and agentic workflows.

Skills and Requirements

  • AI Expertise:

    • Experience with deploying and optimizing AI tools such as GPT models and integrating agentic workflows.
    • Familiarity with GPT architectures (GPT-4.x, related APIs) and reinforcement learning for intelligent systems.
    • Knowledge of AI libraries and frameworks (TensorFlow, PyTorch, Keras, Hugging Face Transformers, etc.).

  • Development & Automation:

    • Proficiency in programming languages like Python, JavaScript, Go, or Shell scripting.
    • Hands-on experience with containerized architectures (Kubernetes, Docker) and cloud platforms (Azure, AWS, or GCP).
    • Expertise in CI/CD pipelines and infrastructure automation with tools like Terraform, Ansible, and Helm.

  • Data & Integration:

    • Familiarity with relational and non-relational databases (PostgreSQL, MS SQL, MongoDB) and API integrations (RESTful APIs).

  • Security & Governance:

    • Understanding of ethical AI principles and security best practices for AI model deployment.
    • Experience with organizational governance policies and compliance standards.

  • Observability & Scaling:

    • Experience with monitoring and observability tools like Prometheus, Grafana, or Datadog.
    • Knowledge of distributed computing frameworks for scaling AI workflows (such as Apache Spark, Airflow, or Dask).

  • Soft Skills:

    • Strong communication skills to interact effectively with technical and non-technical teams.
    • Self-motivated with analytical problem-solving capabilities and a collaborative mindset.

Preferred Qualifications

  • Bachelor’s degree in Computer Science, AI, Machine Learning, or a related field with 5+ years of relevant experience; or advanced degree with AI expertise.
  • Familiarity with AI-powered conversational systems (RASA, Dialogflow, LangChain) and agent-building workflows.
  • Proficiency in Kubernetes and OpenShift for container orchestration.
  • Knowledge of CI/CD tools (GitLab, Jenkins) and MLOps practices for optimizing AI model lifecycle.

The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.

Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or** @myworkday.com)****.**

Equal Employment Opportunity

It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.