Lead AI/ML Engineer
INR 2500K-4000K (estimate) Senior-level Full Time
Tasks
- Architect agentic systems
- Automate testing for stochastic systems
- Build high-throughput data pipelines
- Build model routing and fallback strategies
- Create standardized agent tool interfaces
- Design multi-agent workflows
- Design safety and hybrid autonomy controls
- Design vector database retrieval architectures
- Engineer state memory and long running execution
- Establish evaluation pipelines for reliability
- Implement LLMOps tracing and debugging
- Implement agent communication patterns
- Implement human in the loop approval gates
- Implement real time context injection
- Mentor engineers and set engineering standards
- Optimize context management latency and inference cost
- Package and deploy workloads with containerization
- Set up cluster orchestration for scaling
- Set up cost monitoring and performance telemetry
- Translate agent requirements into schemas and data contracts
Perks/Benefits
- Continuing education program
- Continuous learning resources
- Family-friendly perks
- Flexible time off
- Health care coverage
- Retirement planning
Skills/Tech-stack
Agent Orchestration | Agent systems | Async systems | CI/CD | Cluster Orchestration | Containerization | Data SLA | Data contract | Data pipeline | Embeddings | Graph Databases | Graph Machine Learning | Knowledge graphs | LLMOps | Language Models | Large Language Models | Machine Learning | Model Evaluation | Multi-Agent | Multi-Agent Systems | NoSQL | Prompt engineering | Python | REST APIs | Relational Database | Reliability Engineering | Retrieval architecture | Retrieval-Augmented Generation | Tracing | Uncertainty Estimation | Vector Database | Vector Search
Education
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