Principal AI Engineer
INR 2475K-4800K (estimate) Senior-level Full Time
Tasks
- Advise on feasibility and solution architecture for client use cases
- Architect integration patterns across data systems
- Build production grade AI workflows
- Build supervised learning pipelines from analyst feedback
- Create and optimize large scale Spark data pipelines
- Develop prompt context and memory engineering
- Engage with clients and communicate technical concepts
- Ensure code quality and engineering standards
- Foster coding standards version control and documentation
- Implement Spark partitioning caching and performance tuning
- Implement data ingestion and pipeline automation
- Implement testing CI CD and observability practices
- Lead multiagent orchestration development
- Mentor engineers on LLM engineering practices
- Monitor reliability and performance of data pipelines
- Support structured and unstructured data for analytics and machine learning
- Translate client onboarding needs into workflows
Perks/Benefits
Skills/Tech-stack
APIs | Async Concurrency | Autogen | Automation | CI/CD | Data Modeling | ELT | ETL | Generative AI | Git | Graph Databases | Grounding techniques | Knowledge graphs | Langchain | Langgraph | Llamaindex | Memgraph | Monitoring | Multiagent systems | Neo4j | Neptune | Observability | Orchestration | Prompt engineering | PySpark | Python | RAG | Reranking | Retrieval optimization | SQL | Self-critique | Self-evaluation | Spark | Structured memory | Testing | TigerGraph | Tool-Calling | Vector Databases | Vector Memory
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Principal | Principal AI Engineer
Regions
Countries
States
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