Lead Engineer - Gen AI

India·Bangalorelead

Machine Learning EngineerData

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

Lead Engineer About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target,

Technical Tools

Machine Learning EngineerData

Requirements

~1 min read

Java & Python (Advanced proficiency in backend, AI, and automation workflows using Java and Python)
Microservices Architecture (Designing, developing, and managing scalable microservices)
Spring Boot or Micronaut (Experience with JVM-based frameworks, including reactive programming)
AI / LLM Integration (Integrating Large Language Models and GenAI features into core applications)
AI Reliability & Automation (Building agentic frameworks, reducing hallucinations, and improving process automation using OpenAI APIs and SDKs)
Messaging Systems (Kafka, RabbitMQ)
Databases (Experience with NoSQL databases like Cassandra, MongoDB, and SQL-based databases like PostgreSQL)
CI/CD (Building and managing pipelines with Jenkins, GitLab, or similar tools)
Unit and Integration Testing (Spock, JUnit, TestContainers for Java; PyTest, Unittest for Python)
Cloud Services (AWS, GCP, Azure)
Containerization and Orchestration (Docker, Kubernetes)
Monitoring & Observability (Grafana, ELK Stack, Prometheus)
Event-Driven Architecture (Knowledge of event-driven patterns in distributed systems)

Functional Programming (Familiarity with functional programming paradigms in Kotlin)
GraphQL (Experience designing and integrating GraphQL APIs)
Legacy System Modernization (Experience refactoring and modernizing older systems)
Security Best Practices (OWASP, vulnerability scanning, secure coding principles)
Agile Methodologies (Familiar with Scrum, Kanban, or other agile processes)