AI Engineer

F5
Hyderabad
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 10+ yearsEducation: bachelorsSkills: ["Strategic thinking","Customer obsession","Collaboration","Data-driven experimentation","Responsible AI governance"]

Build and run production ML/AI systems for Customer Success & Support workflows, including self-service automation, agent assist, knowledge automation, routing, summarization, and safe AI observability. Own the ML architecture and end-to-end model lifecycle—from data pipelines and evaluation to deployment, monitoring, and continuous improvement. Partner cross-functionally to implement safe RAG/LLM solutions, governance controls, and scalable, low-latency services that measurably improve CSAT, deflection, MTTR, and agent productivity.

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FursaFursa
F5
F5
1 day ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Build and run production ML/AI systems for Customer Success & Support workflows, including self-service automation, agent assist, knowledge automation, routing, summarization, and safe AI observability. Own the ML architecture and end-to-end model lifecycle—from data pipelines and evaluation to deployment, monitoring, and continuous improvement. Partner cross-functionally to implement safe RAG/LLM solutions, governance controls, and scalable, low-latency services that measurably improve CSAT, deflection, MTTR, and agent productivity.
Location: Hyderabad
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Define technical architecture and roadmap for AI capabilities in support workflows, including RAG, LLM assistants, intent classification, summarization, and conversational systems.
  • •Own end-to-end model lifecycle, including data pipelines, training, evaluation, fine-tuning, validation, deployment, and continuous monitoring (MLOps).
  • •Build and operate production-quality ML services and APIs with scalable inference, caching/batching, latency SLAs, and performant, well-tested code (primarily Python).
  • •Implement safety, privacy, and governance controls for generative systems (hallucination mitigation, provenance/explainability, access control, logging/audit, and data protection).
  • •Prototype, experiment, and coach/mentor engineers and data scientists while setting best practices for reproducible experiments, feature engineering, model tests, and CI/CD for models.

Key Requirements

  • •6+ years building full-stack systems at scale.
  • •Strong experience with React.js, Next.js, TypeScript, JavaScript, Node.js, Python, Go, and Java.
  • •Hands-on experience with AWS (S3, DynamoDB, Aurora, Kinesis) and Azure (Blob Storage, CosmosDB, AKS), including managed databases and core cloud services.
  • •Strong programming skills in Python and experience writing production-quality services and APIs.
  • •Bachelor’s or advanced degree in Computer Science, Machine Learning, or related field (or equivalent experience).
Experience:10+ yearsSaaSMachine learningNLPLLMs
Education:Bachelor's in Computer Science, Machine Learning
Skills:Strategic thinkingCustomer obsessionCollaborationData-driven experimentationResponsible AI governance
Tech Stack:PythonReact.jsNext.jsTypeScriptJavaScriptNode.jsGoJavaSpring BootHibernateReactAWSAzurePostgresDynamoDBAuroraKinesisCosmos DBAKSEKS

Company Brief

F5
Provides application delivery networking, load balancing, and security solutions for on-premises and cloud environments, helping organizations optimize, secure, and scale applications and APIs across multi-cloud infrastructures.
Industry: Networking Equipment
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Seattle, United States
Founded: 1996
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn