AI/GenAI Engineer
- Job Title: AI/GenAI Engineer
- Experience: 4-7
- Reporting To: Solution Architect / Tech Lead
- Engagement Type: Full time/Contract
- Location: Hyderabad

Role Overview
Seeking an AI / GenAI Engineer to join the AI Core team for the UC-003 Billing Prep program. This role owns the design, development, and integration of AI and generative AI capabilities including reimbursable cost matching, anomaly detection, and in-month billing monitoring built on Google Vertex AI and Gemini. The engineer will work closely with backend and data engineering peers to embed AI-driven automation into the billing preparation pipeline, replacing manual judgement calls with explainable, auditable model decisions.

Required Qualifications

Technical Skills
- 4+ years of hands-on experience building and deploying machine learning or AI systems in production: classification, NLP, anomaly detection, or recommendation systems preferred.
- Proficiency with Google Vertex AI: Vertex AI Workbench, Model Registry, Vertex AI Pipelines, Prediction endpoints, and Feature Store.




- Experience with Gemini API and Vertex AI Generative AI Studio: prompt engineering, structured output, grounding, and function calling.
- Strong Python skills: PyTorch, TensorFlow, or scikit-learn for model development; FastAPI or Flask for serving wrappers.
- Familiarity with GCP data services: BigQuery, Cloud Storage, Pub/Sub used as upstream data sources and downstream output sinks.

Understanding of MLOps principles: experiment tracking, model versioning, CI/CD for ML, and production monitoring.

Experience
- Prior experience building AI features in financial, billing, AP, or ERP contexts: cost classification, invoice matching, or spend analytics preferred.
- Experience integrating LLMs into enterprise workflows with appropriate guardrails, human escalation paths, and auditability.
- Demonstrated ability to iterate rapidly on model quality based on subject-matter-expert feedback within an agile delivery

📌 AI/GenAI Engineer (Hyderabad)
🏢 Tanisha Systems
📍 Hyderabad