AI/GenAI Engineer | Hyderabad
We are looking for an experienced AI/GenAI Engineer to join our AI Core team and work on an exciting UC-003 Billing Prep program.
Location: Hyderabad
Experience: 4–7 Years
Employment Type: Full-time
Salary: Market Standard
Reporting To: Solution Architect / Tech Lead
Role Overview
The AI/GenAI Engineer will be responsible for designing, developing, and integrating AI & Generative AI capabilities for billing automation, including reimbursable cost matching, anomaly detection, and in-month billing monitoring using Google Vertex AI and Gemini.
The role involves building explainable, auditable AI solutions that reduce manual intervention and improve billing accuracy and efficiency.
Key Responsibilities
- Design and develop AI models for reimbursable/non-reimbursable cost classification and matching.
- Build anomaly detection solutions for billing exceptions, unusual charge spikes, and data-quality issues.
- Develop Gemini-powered copilots/AI agents to support billing analysts.
- Implement confidence scoring, explainability, and AI recommendation outputs.
- Manage the complete ML lifecycle using Vertex AI, including training, evaluation, deployment, versioning, and monitoring.
- Integrate Vertex AI and Gemini APIs with backend billing pipelines.
- Develop feedback loops using reviewer accept/reject decisions for continuous model improvement.
- Design effective prompt engineering, structured outputs, grounding, and function-calling strategies.
- Establish AI evaluation frameworks using Precision, Recall, and F1-score.
- Implement human-in-the-loop controls, auditability, model provenance, and responsible AI practices.
- Collaborate with Backend and Data Engineers on APIs, feature engineering, training datasets, and labelling workflows.
Mandatory Skills
4+ years of hands-on experience building and deploying AI/ML solutions in production
Strong Python skills
Experience with Google Vertex AI – Workbench, Model Registry, Pipelines, Prediction Endpoints
Hands-on experience with Gemini API / Vertex AI Generative AI
Strong understanding of Prompt Engineering, Grounding, Structured Output & Function Calling
Experience with PyTorch, TensorFlow, or Scikit-learn
Experience with FastAPI or Flask
Knowledge of GCP – BigQuery, Cloud Storage, Pub/Sub
Strong understanding of MLOps, model versioning, CI/CD, monitoring and experiment tracking
Experience with enterprise LLM integration, guardrails, human-in-the-loop workflows and auditability
Good to Have
- GCP Professional Machine Learning Engineer certification
- Vertex AI Agent Builder / LangChain on GCP
- Experience with financial, billing, AP, ERP, invoice matching or spend analytics
- Knowledge of SHAP, LIME and responsible AI
- Experience with Vector Databases, Vertex AI Matching Engine or AlloyDB pgvector
- Enterprise AI platform architecture experience
- Real estate, facilities management or professional services billing domain experience
Ideal Candidate
We are looking for someone who can combine strong AI/ML engineering expertise with GenAI capabilities, build production-ready solutions, and work closely with business SMEs to continuously improve model quality.