Agentic AI Engineer

Experience building AI/ML solutions using Google Vertex AI on Google Cloud

Platform (GCP)

Hands-on experience with Google ADK LangGraph and Agentic AI frameworks

Strong expertise in LLM & Agent Evaluation Frameworks including

trajectory/trace-based evaluation tool-calling & planning metrics

multi-run evaluation and LLM-as-a-Judge / Agent-as-a-Judge methodologies

Experience with Prompt Engineering Retrieval-Augmented Generation (RAG)

Knowledge Graphs Semantic Modeling and Vector Databases

Experience implementing AI Guardrails AI Governance Model Monitoring

Evaluation Gating and Responsible AI practices

Strong Python development skills with experience in FastAPI Pandas NumPy

PyTest and REST API development

Experience with OCR and Intelligent Document Processing (IDP) using Google

Document AI Tesseract OCR Azure Document Intelligence or Amazon

Textract

Hands-on experience with Named Entity Recognition (NER) document

classification information extraction text preprocessing tokenization

embeddings semantic search and NLP pipelines

Experience with fuzzy string matching and record linkage algorithms including

Jaro-Winkler Levenshtein Distance Damerau-Levenshtein Jaccard

Similarity Cosine Similarity TF-IDF FuzzyWuzzy/RapidFuzz and entity

resolution techniques

Strong understanding of Machine Learning Data Science Statistical Analysis

Feature Engineering Classification Regression Clustering

Recommendation Systems and model evaluation metrics Experience with AI evaluation and observability tools such as Braintrust Arize

Phoenix OpenTelemetry Promptfoo Galileo DeepEval Confident AI

Ragas Langfuse and LangSmith

Hands-on experience with Google Kubernetes Engine (GKE) Cloud Run

Docker Kubernetes and cloud-native application deployment on GCP

Experience implementing security controls including RBAC Data Redaction PII

Detection & Masking Secrets Management and AI security governance

Strong understanding of cloud-native architectures CI/CD pipelines

containerized deployments MLOps LLMOps software engineering best

practices and production AI deployment

Excellent analytical problem-solving stakeholder communication technical

documentation and solution architecture skills