Applied AI Engineer (AI Agents & Workflow Automation)
Tasks
- Build backend components for AI products
- Deliver end to end product lifecycle discovery prototyping production and iteration
- Design build and maintain AI driven services
- Develop orchestration logic across LLMs services APIs and databases
- Document architecture and technical decisions and communicate to stakeholders
- Ensure production quality with testing observability reliability security performance and cost awareness
- Implement improve RAG tool function calling memory state handling evaluation and monitoring
- Integrate AI powered workflows with business systems
- Partner with product managers and business stakeholders to identify use cases
Perks/Benefits
- Annual offsites
- Company funded sport activities
- Flexible benefits
- Free meals and snacks
- Generous leave
- Health insurance
- Hybrid work
- Professional development budget
- Relocation support
- Team building events
Skills/Tech-stack
AWS | Anthropic API | Async Processing | Azure | CI/CD | Docker | Error Handling | Express | Function Calling | GCP | Idempotency | Kafka | LLM | Langchain | Langgraph | Logging | Monitoring | NestJS | Node.js | Observability | OpenAI API | PGVector | Pinecone | PostgreSQL | Privacy | Prompt engineering | Python | Qdrant | Queues | RAG | REST API | Redis | Retries | SQL | Security | Testing | TypeScript | Vector Databases | Weaviate | Webhooks
Education
N/A
Roles
AI Engineer | Applied AI Engineer | Engineer | Software Engineer
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