AI Engineer, VP
Bengaluru, India
INR 4000K-6000K (estimate) Executive-level Full Time
Tasks
- Architect and optimize RAG pipelines
- Architect and safely operate LLM powered applications
- Build and operate orchestrated scheduled workflows
- Contribute to design code and reviews
- Design agent to agent communication frameworks
- Design data pipelines for ingestion transformation and embeddings
- Drive optimization for low latency reliability throughput and cost
- Establish guardrails observability and safety mechanisms
- Implement testing version control CI CD and infrastructure as code
- Integrate and orchestrate frontier LLM providers
- Lead and line manage AI engineering team
- Own technical vision and roadmap for AI systems
- Partner with stakeholders across product data science platform and risk
- Set objectives and manage performance
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | AWS Lambda | Amazon Bedrock | Amazon ECS | Amazon EKS | Amazon SageMaker | Anthropic | Apache Airflow | Async Programming | CI/CD | Data Exfiltration Protection | Data exfiltration | Docker | Embeddings | Infrastructure as Code | Injection Protection | Kubernetes | Langchain | Langgraph | Logging | Model Evaluation | NLP | Observability | OpenAI | Prompt injection | Prompt-injection protection | Python | RAG | Retrieval-Augmented Generation | SQL | Snowflake | Tracing | Transformers | Vector Databases | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer | Engineering | VP | VP of Engineering
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