Tasks:
- * Build agent orchestration engine
- * Build distributed task scheduling system
- * Build Ontology modeling tools
- * Design microservices architecture
- * Develop AI platform backend services
- * Develop enterprise capability marketplace
- * Develop low-code Agent platform
- * Develop unified semantic layer
- * Implement federated query engine
- * Improve system monitoring and observability
- * Integrate structured data, knowledge graphs, and vector databases
- * Optimize knowledge graph query performance
- * Research AI Agent and knowledge graph technologies
- * Review code
- * Write technical and API documentation
Perks/Benefits:
- + Collaboration with experienced engineers and architects
- + Core AI platform project experience
- + End-to-end development experience
- + Opportunity for full-time conversion
- + Potential graduate recruitment fast track
Skills/Tech stack required:
[API Design] [Cypher] [Data Structures] [Data Structures and Algorithms] [Distributed Systems] [Django] [Docker] [FastAPI] [Go] [Grafana] [JanusGraph] [Java] [Kafka] [Knowledge graphs] [Kubernetes] [Langchain] [Langfuse] [Langgraph] [Llamaindex] [Microservices] [Milvus] [MySQL] [Neo4j] [PostgreSQL] [Prometheus] [Python] [Qdrant] [RabbitMQ] [Redis] [RESTful API] [RESTful API design] [Spring Boot] [Vector Databases]
Educational requirements:
[Bachelor's Degree] [Master's Degree]
Role(s):
[Agent Engineer] [AI/Agent Engineer] [AI Platform Software Engineer] [Backend Software Engineer] [Engineer] [Engineering Intern] [Intern] [Platform Software Engineer] [Software Engineer] [Software Engineering] [Software Engineering Intern]