Engineering Expert - AI & Data Products, Runtime Platform
Bangalore, KA, IN, 560066
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Apply SQL for data transformations
- Architect and maintain data transformation pipelines
- Build and maintain microservices architectures
- Collaborate with global stakeholders to deliver project outcomes
- Contribute to LLM fine tuning and training including RLHF
- Craft and optimize prompts for LLM workflows
- Define data engineering architecture principles and standards
- Deploy and manage services on Kubernetes
- Develop AI agents and MCP servers and MCP tools
- Drive decisions for data quality observability scalability and reliability
- Establish data lakehouse standards and data contracts
- Implement GitOps using Argo CD and Helm
- Integrate AI and ML into data solutions
- Lead design optimized distributed data processing solutions at scale
- Mentor junior engineers and drive continuous improvement
- Optimize data processing performance using PySpark
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | Apache Spark | Argo CD | CI/CD | Data Contracts | Data Governance | Data Lakehouse | Data Lineage | Data Partitioning | Data Quality | Data Transformation | Delta Lake | ELT | ELT/ETL | ELT/ETL pipelines | ETL | ETL Pipelines | Engineering Techniques | Fault Tolerance | Fine Tuning | Git | GitOps | Helm | Human Feedback | Idempotency | Kubernetes | LLM | LLM Fine-tuning | Langchain | Langgraph | Language Models | Large Language Models | Learning from Human Feedback | Llamaindex | Microservices | Model Alignment | Observability | Prompt engineering | Prompt engineering techniques | PySpark | Python | RLHF | Reinforcement Learning | Reinforcement Learning from Human Feedback | SQL | Schema evolution | Spark optimization
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer | Software Engineer
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