- 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, Pass@k 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

- Robust 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

📌 Senior/Lead GenAI Engineer / AI Evaluation & Agentic AI Engineer (Bengaluru)
🏢 ANRI Solutions HR Services
📍 Bengaluru