Senior AI Engineer
Tasks
- Architect and build graph based knowledge bases
- Build abstraction layers for LLM providers
- Build runner agnostic pipelines across environments
- Collaborate with client teams on integrations validation and rollout
- Design and build distributed data pipelines
- Design and implement backend service layers
- Design and implement entity resolution and cross referencing
- Develop pluggable LLM extractor frameworks
- Ensure observability debugging and performance monitoring
- Implement LLM powered extraction workflows
- Optimize LLM usage for cost latency and reliability
- Package and deploy systems using Docker
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Airgapped Deployment | Apache Beam | Apache Flink | Apache Spark | Azure | Cloud Platforms | Containerization | Dagster | Data Modeling | Dgraph | Distributed Systems | Docker | Entity Resolution | GCP | Go | Graph Databases | JanusGraph | LLM orchestration | Language Models | Large Language Models | Neo4j | Observability | Ollama | Parallel processing | Performance Monitoring | Prefect | Prompt engineering | Python | SQL | TensorRT | VLLM
Education
N/A
Roles
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