Lead AI Back End Software Engineer (AI Architect Track)
Tasks
- Build retrieval augmented generation RAG pipelines
- Conduct proof of concept validation
- Define orchestration evaluation and monitoring strategies
- Design end to end system design and data flows
- Ensure security scalability reliability and cost control
- Integrate GenAI models into services
- Lead architecture for AI powered search solutions
- Mentor engineers and drive engineering culture
- Optimize latency and observability for production systems
- Research and promote new AI and backend technologies
- Run design reviews and technical workshops
Perks/Benefits
- Access to corporate learning platform
- Flexible benefits budget
- Hybrid work options
- Language classes
- Mental health support
- On-demand medical insurance
- Paid sick days
- Paid vacation
- Team events
- Vaccinations
- Work from home
Skills/Tech-stack
AWS | CI/CD | DevSecOps | Elasticsearch | Embeddings | GenAI | GraphQL | IAM | Infrastructure as Code | Java | Kotlin | Latency optimization | Microservices | NoSQL | Observability | OpenSearch | Python | RAG | REST | Relevance Tuning | Retrieval-Augmented Generation | SQL | Search Relevance | Search relevance tuning | Security | Terraform | “as-code”
Education
N/A
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