Senior AI Engineer
Tasks
- Champion AI governance and responsible AI
- Collaborate on data pipelines vector indexes and embeddings
- Consult with clients on AI architecture
- Design and build AI agents
- Design and build backend services and APIs that power AI features
- Develop tools and integrations for real systems
- Establish AI engineering best practices and mentor engineers
- Implement AI observability and regression detection
- Implement real time and event driven features
- Integrate and optimize LLMs
- Own model evaluation and drift monitoring
Perks/Benefits
- Flexible working hours
- Free lunch
- Health insurance
- Hybrid working policy
- International work environment
- Learning and certifications support
- Life insurance
- Opportunity to visit events and conferences
- Provident fund
Skills/Tech-stack
AI Observability | API Design | Asynchronous programming | Drift Detection | LLM Evaluation | LLM integration | Langchain | Llamaindex | OAuth 2.0 | PGVector | Pinecone | Prompt engineering | Python | Qdrant | RAG Pipelines | Rate Limiting | Relational databases | Resilient integrations | Retries | Retrieval-Augmented Generation | Streaming | Structured outputs | Tool-Calling | Vector Databases | Weaviate
Education
Roles
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