Senior Staff Software Engineer ( Machine learning Platform)
Bengaluru, Karnataka, India
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Build LLM control plane gateway
- Build reliable data ingestion pipelines
- Build training and scoring pipelines for classical ML
- Define SLOs latency uptime cost enable autoscaling spend controls
- Design agent orchestration patterns manage agent state long running workflows
- Develop unified API and SDKs REST gRPC
- Enable multi model multi vendor LLM canarying and versioning
- Enforce safety and privacy content filtering prompt response validation PII redaction
- Evolve domain graph and entity resolution
- Implement human in the loop review safe actioning
- Implement hybrid retrieval graph vector keyword with caching TTL
- Implement smart routing rate limits quotas failover token cost tracking
- Maintain model and agent registry versioning approvals audit trails reproducibility
- Monitor model and data drift run retraining and tuning
- Normalize schemas structured outputs observability traces logs metrics
- Own agent runtime tool registry permissions function calling grounding retrieval
- Provide templates CLIs sandboxes docs mentor engineers
- Run continuous offline online evaluations quality factuality bias safety
- Serve real time context to agents access controls lineage
- Standardize experiment tracking and packaging
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | API Design | AWS | Agent Orchestration | Airflow | Autoscaling | B testing | CI/CD | Caching | Canary Deployment | Concurrency | Data Pipelines | Decision Trees | Deep learning | Distributed Systems | Docker | Drift Detection | Feature Engineering | Flink | Function Calling | GRPC | Go | Graph Databases | GraphQL | Human-in-the-loop | Hybrid retrieval | Java | Kafka | Knowledge graphs | Kubeflow | Kubernetes | LLM Gateway | LightGBM | Linear Models | Logging | MLOps | MLflow | Metrics | Microservices | Milvus | Model Evaluation | Neo4j | Neptune | Observability | Online evaluation | PGVector | Provider adapters | Python | Qdrant | Quota Management | REST | Rate Limiting | Retrieval-Augmented Generation | Routing policies | SLOs | Safety Guardrails | Scala | Spark | Supervised Learning | Telemetry | The Loop | TigerGraph | Token Accounting | Tool use | Tracing | Unsupervised Learning | Vector Search | XGBoost
Education
N/A
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