AI Engineer, Director
Bengaluru, India
INR 1500K-6000K (estimate) Executive-level Full Time
Tasks
- Architect RAG pipelines
- Balance capability cost latency and risk
- Build and evaluate LLM applications safely
- Design LLM powered application architecture
- Design agent to agent communication frameworks
- Ensure data reliability quality and lineage
- Implement multi-agent workflows
- Integrate and orchestrate frontier LLM providers
- Lead AI engineering team
- Monitor retries and failure handling
- Operate data pipelines for AI ingestion and transformation
- Optimize document chunking and embeddings
- Optimize low latency reliability throughput cost on AWS
- Orchestrate scheduled workflows
- Set AI system technical vision
- Use Snowflake for storage and analytics
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Lambda | Amazon Bedrock | Amazon ECS | Amazon EKS | Amazon SageMaker | Anthropic | Apache Airflow | CI/CD | Docker | Embeddings | Generative AI | Git | Infrastructure as Code | Kubernetes | LLM integrations | Langchain | Langgraph | Machine Learning | OpenAI | PySpark | Python | RAG Pipelines | Ranking | Retrieval evaluation | SQL | Snowflake | Vector storage | “as-code”
Education
N/A
Roles
AI | AI Engineer | Director | Engineer
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