Engineer - Target India

Target is hiring an Engineer - Target India in Bangalore.

We are looking for an AI Engineer to help transform our Device Management Platform through the adoption of intelligent, AI-powered capabilities. This role will focus on designing, developing, and integrating AI solutions that improve how enterprise devices are managed, monitored, and supported at scale. You will work closely with product, engineering, security, and infrastructure teams to identify high-value use cases and build solutions such as intelligent search, conversational assistants, anomaly detection, predictive insights, automated remediation, and AI-driven operational analytics. The

Requirements

• 4+ years of software engineering experience, including experience building production-grade applications and services
• Hands-on experience developing and deploying AI-powered applications or Generative AI solutions
• Experience building applications using Large Language Models (LLMs) such as OpenAI GPT, Claude, Gemini, Llama, or similar models
• Experience with Retrieval-Augmented Generation (RAG), vector databases, embeddings, and semantic search
• Understanding of model confidence, evaluation metrics, false positives/negatives, and safe fallback behaviour.
• Familiarity with AI governance, explainability, and approval-gated automation for high-risk actions.
• Exposure to Anomaly detection, Confidence scoring and decision thresholds, Explainability and Auditability
• Strong proficiency in Python, Java, Kotlin, or a combination thereof
• Experience designing and implementing REST APIs and backend service integrations
• Experience working with cloud-based AI services and AI development frameworks
• Experience evaluating AI solutions and measuring quality through testing, experimentation, and monitoring
• Strong understanding of software engineering best practices, CI/CD, testing, and observability
• Strong problem-solving skills and ability to work across cross-functional teams

Preferred qualifications

• Experience working with enterprise device management platforms, Android Enterprise, IoT systems, or edge devices
• Experience building intelligent search, recommendation engines, chatbots, or AI assistants
• Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar AI frameworks
• Experience leveraging device telemetry and operational data to build predictive analytics or anomaly detection solutions
• Familiarity with Temporal or similar workflow orchestration frameworks
• Experience with event-driven architectures and distributed systems
• Knowledge of responsible AI practices, model governance, and AI security

About Target

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