Senior/Lead AI Back End Software Engineer (AI Architect Track)
Tasks
- Apply security and cost controls
- Build Retrieval Augmented Generation systems
- Collaborate with architecture, product, and data teams
- Define secure scalable cost efficient model usage
- Deliver AI search systems to production
- Design AI data flows and model integration
- Implement GenAI orchestration and evaluation
- Implement observability for AI systems
- Lead AI powered search architecture
- Lead design reviews workshops and technical discussions
- Mentor engineers and guide engineering culture
- Optimize latency and reliability
- Research and promote AI and backend technologies
- Run proof of concept validation
- Validate performance accuracy and cost
Perks/Benefits
- English classes
- Flexible benefits budget
- Health benefits
- Hybrid office access
- Hybrid work
- Language classes
- Learning platform access
- Medical insurance
- Mental health support
- Paid sick days
- Paid vacation
- Team events
- Therapy compensation
- Vaccinations
- Work from home
Skills/Tech-stack
AWS | AWS Bedrock | CI/CD | DevSecOps | Elasticsearch | Embeddings | GenAI | GraphQL | IAM | Infrastructure as Code | Java | Kotlin | LLM | Latency optimization | Microservices | Model Evaluation | NoSQL | Observability | OpenSearch | Prompt versioning | Python | RAG | REST APIs | Red Teaming | Relevance Tuning | Retrieval-Augmented Generation | SQL | Search Relevance | Search relevance tuning | Security | Terraform | “as-code”
Education
N/A
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