Cognizant - Generative AI Application Developer - Python/Vertex AI

Level : TM/MNotice period : immediate/ 30 DaysSummary : This is an Application Developer role focusing on building and deploying GenAI applications using Python (Flask/FastAPI) and Vertex AI (Gemini). Key technical

include strong experience with RESTful APIs, prompt engineering, RAG/Vertex AI Search, and data management using BigQuery and SQL. Experience deploying on GCP (App Engine Standard) is essential. This is not a Data Science/model-training role but emphasizes application development, orchestration, and analyzing model quality metrics (precision, recall, etc.)

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: - Strong proficiency in Python and experience with Flask / FastAPI.- Experience building RESTful APIs and integrating external/cloud APIs.- Hands-on work with Vertex AI (Gemini) or similar LLM platforms.- Practical prompt engineering for classification, analytics, and chat use cases.- Familiarity with Retrieval-Augmented Generation (RAG) and Vertex AI Search.- Good understanding of precision, recall, F1, confusion matrix and how to compute/interpret them.- Strong SQL skills and experience with Cloud SQL (or similar RDBMS) and BigQuery (or similar data warehouses).- Experience with concurrency/async patterns in Python for batch or high-throughput processing.- Experience deploying and operating apps on GCP, especially App Engine Standard, with Cloud SQL / BigQuery integration.- Familiarity with logging, monitoring, and debugging production systems.This is not a model research / model-training Data Scientist role. It focuses on application development and GenAI orchestration, with comfort in analyzing model outputs and quality metrics.Nice-to-Have Skills : - Exposure to other GCP services : Cloud Storage, Pub/Sub, Cloud Run, Cloud Logging, Cloud Functions.- Experience with Google Apps Script for scheduled data ingestion or workflow automation into Cloud SQL / BigQuery.- Experience building dashboards or reports (e.g., Looker Studio, Tableau, Power BI) on top of BigQuery for KPIs.- Experience with CI/CD, automated testing, and production observability.- Familiarity with responsible AI and safety guidelines.Mindset & Working Style : - Enjoys building robust, production-ready GenAI applications.- Comfortable debugging data and model-output issues end-to-end.- Pragmatic and quality-focused; balances fast iteration with maintainability.- Communicates clearly with non-technical stakeholders about model behavior and performance. (ref: hirist.tech)