We are looking for a Senior AI Engineer to design, build and productionise AI capabilities on an enterprise data and analytics platform. The role covers both generative AI (grounded conversational assistants using retrieval-augmented generation) and classical machine learning (forecasting, risk scoring, anomaly detection and root cause analysis), delivered as secure, scalable services on AWS.

You will own the AI/ML service end to end: retrieval and grounding design, model selection, evaluation harness, API integration with backend and front-end teams, and production readiness including guardrails, observability and access-scoped data handling. The role suits an engineer who has shipped AI features to real users and cares as much about accuracy, citation and verification as about model capability.

- Design and build a grounded conversational assistant using RAG: ingestion, chunking, embeddings, hybrid (vector + keyword) retrieval, reranking and citation of source records

- Implement LLM orchestration: query routing, tool/function calling against governed data APIs, response assembly and answer verification against retrieved evidence

- Build and maintain an LLM evaluation harness covering relevance,



groundedness, citation accuracy, latency and regression testing

- Develop forecasting, risk scoring and anomaly detection models on high-volume time-series and tabular data

- Support AI-assisted root cause analysis: feature attribution, probability ranking of contributing causes and evidence summarisation

- Expose AI/ML capabilities as secure REST APIs (Python FastAPI) deployed as containers on Kubernetes (EKS)

- Integrate LLMs through private endpoints (e.g. AWS Bedrock / VPC endpoints) so data does not leave the controlled network

- Enforce role-based access and data scope in retrieval, prompts and conversation state

- Implement guardrails, graceful degradation, prompt/version management and audit logging

- Set up monitoring and observability for model and assistant performance; use production logs to drive continuous evaluation

- Work with data engineers on feature and predictive datasets, and with front-end and backend engineers on API contracts

- Participate in Agile/Scrum ceremonies, estimation and sprint delivery

📌 Senior AI Engineer (Bengaluru)
🏢 Torry Harris
📍 Bengaluru