Software Engineer
INR 2200K-4000K (estimate) Mid-level Full Time
Tasks
- Build agentic AI solutions using tools and APIs
- Build batch streaming and near real time data pipelines
- Build production grade GenAI and LLM solutions with RAG embeddings and vector search
- Build reusable APIs services and workflows connecting data applications and AI
- Build trusted data foundations and reusable data products
- Contribute to architecture reviews technical design and code reviews
- Define AI guardrails access controls monitoring and human oversight
- Design and build scalable data and AI architecture
- Develop and productionize machine learning solutions
- Develop common business context and data semantics
- Enable data democratization and self service access
- Establish engineering practices including testing CI CD and observability
- Implement data quality governance lineage metadata security and observability
- Make architecture and technology decisions for scalability reliability security performance and cost
- Mentor engineers and establish engineering and architecture standards
- Use workflow platforms such as Pipedream where relevant
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AI Security | API Development | AWS | Access Control | Agentic Workflows | Automated testing | Azure | CI/CD | Data Governance | Data Lineage | Data Modeling | Data Pipelines | Data Processing | Data Quality | Databricks | Distributed Systems | Docker | Embeddings | Flink | GenAI | Google Cloud | Human oversight | Java | Kafka | Kotlin | Kubernetes | LLM Evaluation | Machine Learning | Metadata Management | Model Deployment | Model Evaluation | Model Monitoring | NoSQL | Observability | Python | RAG | Relational databases | Scala | Spark | Tool-Calling | Vector Search
Education
N/A
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