Software Engineer
INR 2200K-4000K (estimate) Mid-level Full Time
Tasks
- Build batch streaming and near real time data pipelines
- Build production grade GenAI LLM solutions using RAG embeddings vector search and tool calling
- Build reusable APIs services and workflows connecting data applications and AI capabilities
- Build trusted data foundations and reusable data products
- Contribute to architecture reviews technical design and code reviews
- Define common business context and data semantics
- Design AI guardrails access controls monitoring and human oversight
- Design scalable data and AI architecture for data intensive systems
- Develop agentic AI solutions that reason over data use tools and APIs and take actions
- Develop and productionize ML solutions for prediction forecasting risk anomaly detection recommendations and optimization
- Enable data democratization and self service access to trusted data
- Establish engineering practices including automated testing CI CD and observability
- Implement data quality governance lineage metadata security and observability
- Mentor engineers and define engineering and architecture standards
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AI Security | APIs | Access Control | Agent Orchestration | Automated testing | CI/CD | Data Governance | Data Lineage | Data Modeling | Data Pipelines | Data Processing | Data Quality | Databricks | Distributed Systems | Embeddings | Flink | GenAI | Human oversight | Java | Kafka | Kotlin | LLM | LLM Evaluation | MLOps | Machine Learning | Metadata Management | Model Monitoring | NoSQL | Observability | Python | RAG | Relational databases | Scala | Spark | Streaming Data | Streaming data pipelines | Tool-Calling | Vector Search
Education
N/A
Roles
AI/ML Engineer | Data AI ML Engineer | Engineer | ML Engineer | Software Engineer
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