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Target India
Lead Engineer - Gen AI
Target India
Bengaluru•Hybrid•7-10 Yrs•2 days ago
Job description
Overview
Lead Engineer responsible for designing scalable architecture and integrating Large Language Models.
Responsibilities
- Design scalable architecture
- Hands-on development
- Mentoring and coaching
- Ensure product observability
Qualifications
- Position Overview: To succeed in this role, you’ll bring over 7+ years of
- experience in software design and development, with 5+ years focused on building scalable backend applications. You’ll be a proven leader in guiding technical teams and driving products at scale to successful completion. Your expertise will lie in JVM-based technologies, specifically Java and Kotlin, along with a deep
- understanding of building robust, scalable systems.
- 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)
Nice to have
- 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)