Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
F5

AI Engineer III

F5

. Design and implement Generative AI solutions that convert functional requirements and user stories into structured test scenarios and acceptance criteria .

Posted 10/5/2026full-timeHyderabad • IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Generative AI, NLP, and machine learning techniques to develop innovative solutions for operational efficiency and data security. Proficient in building and integrating AI-driven applications, microservices, and automation workflows across various platforms.

Highest-signal resume keywords
Generative AI TechniquesNLP TechniquesMachine Learning ModelsPython ProgrammingAPI Development

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Generative AINLPMachine LearningPythonPandasNumPyScikit-learnSeleniumFastAPIFlask
Soft Skills
Analytical Problem-SolvingCollaborationDisciplined Experimentation
Tools & Technologies
Azure DevOpsServiceNowDell BoomiTableauChromaDBFAISSPineconeMilvusPlaywrightCypress
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Data Science
Industry Keywords
AI PrototypesTest AutomationMicroservices IntegrationMLOpsApplication Security

Tech Stack

Tools & technologies
AzureCypressFlaskJavaScriptMicroservicesNode.jsNumpyPandasPythonScikit-LearnSDLCSeleniumServiceNowTableau

About the role

Key responsibilities & impact
  • Design and implement Generative AI solutions that convert functional requirements and user stories into structured test scenarios and acceptance criteria
  • Develop NLP and sentiment analysis pipelines for ServiceNow and customer interaction platforms
  • Build predictive machine learning models to analyze historical defect logs and forecast high-risk failure areas
  • Create intelligent deduplication algorithms for duplicate test cases across test repositories
  • Prototype and implement AI-assisted self-healing mechanisms for broken UI and API test automation scripts
  • Automate Azure DevOps operational workflows, including backlog classification, work-item routing, and process triage
  • Build anomaly detection and log analysis solutions for Dell Boomi integrations and enterprise platform release pipelines
  • Apply AI/ML techniques to security telemetry for vulnerability discovery, prioritization, and remediation recommendations
  • Integrate automated summarization and predictive insights into executive Tableau dashboards
  • Develop, test, and expose lightweight AI microservices and REST APIs
  • Focus on operational efficiency, data security governance, and engineering excellence
  • Collaborate with QA engineers, business analysts, platform engineers, solution architects, team leaders, reporting teams, and cross-functional engineers
  • Translate complex operational use cases into AI prototypes and production pipelines

Requirements

What you’ll need
  • 2–4 years of hands-on experience applying AI/ML, NLP, and Generative AI techniques to real-world technical or business problems, including relevant internships, capstones, or production projects
  • Overall IT hands-on experience of 7 years and above is considered
  • Strong programming proficiency in Python
  • Familiarity with Pandas, NumPy, and Scikit-learn
  • Hands-on experience with Generative AI and Large Language Models using commercial or open-source model APIs such as GPT, Gemini, Llama, or Mistral
  • Experience implementing Retrieval-Augmented Generation workflows, prompt engineering, and vector databases such as ChromaDB, FAISS, Pinecone, or Milvus
  • Solid understanding of NLP techniques including embeddings, semantic similarity search, text classification, and entity extraction
  • Hands-on experience with Selenium, Playwright, or Cypress and applying AI/ML to test automation
  • Knowledge of API development and microservices integration using FastAPI, Flask, or Node.js
  • Foundational understanding of SDLC, unit testing, debugging, and Git-based source code management
  • Strong analytical problem-solving mindset and disciplined approach to experimentation and prompt evaluation
  • Preferred: Bachelor's or master's degree in computer science, Data Science, Artificial Intelligence, or a related technical discipline
  • Working knowledge or exposure to Salesforce, ServiceNow, Azure DevOps, Dell Boomi, or Tableau
  • Exposure to Copado or other Salesforce-native test automation and release tooling
  • Exposure to application security analysis and vulnerability management tools
  • Understanding of MLOps fundamentals, including model monitoring, API latency optimization, and hallucination guardrails
  • Ability to translate ambiguous operational workflows into clear, automated AI-driven solutions

Benefits

Comp & perks
  • Diverse and inclusive workplace culture
  • Continuous learning
  • Reasonable accommodations for candidates
  • Comprehensive QA as a Service, QA Automation as a Service, BA & Reporting as a Service, and Platform & Deployment Services are part of the organization’s service offerings