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Jobright.ai Tech Stack
AI job search agent for tech professionals and talent acquisition
Jobright operates a two-sided marketplace: an AI job-search agent for tech professionals and an AI recruiting partner for employers. The tech stack is ML-heavy (PyTorch, TensorFlow, scikit-learn, RAG, Langchain, LlamaIndex) paired with vector databases (Pinecone, Milvus, Weaviate), indicating production-grade AI systems at scale. Current focus on agent performance, prompt optimization, and latency reduction reflects the operational maturity gap between initial AI rollout and production reliability — a common pain point for AI-native platforms at this growth stage.
Tech Stack 106 technologies
Core StackPython PyTorch TensorFlow scikit-learn RAG AWS FastAPI Go PostgreSQL Langchain Flask Django Docker Kubernetes Pinecone Weaviate JavaScript TypeScript Node.js React Vue Angular MySQL R SQL GCP Azure LlamaIndex Milvus NoSQL+74 more
What Jobright.ai Is Building
◆Challenges
- Agent performance improvement
- Scaling ai agents
- Platform scalability
- Improving prompt accuracy
- Launching new ue5 open-world title
- Scaling social media presence
- Latency reduction
- Throughput optimization
- Resource utilization optimization
- Ai system robustness
▲Active Projects
- Business-facing ai agents
- Production ai agents
- Ai agent infrastructure
- Ai agent analysis
- Prompt optimization for classification accuracy
- Data pipelines and memory systems
- Produce custom data reports and visualizations
- User interaction data analysis
- North america publishing strategy for ue5 open-world title
- Log ingestion pipeline
Hiring Activity
40 roles · 40 in 30d
Department
Seniority
Company intelligence
