Lead AI/ML Engineer
INR 2500K-4000K (estimate) Senior-level Full Time
Tasks
- Architect agentic systems
- Automate stochastic system evaluation
- Build high-throughput data pipelines
- Build multi-agent workflows
- Containerize and deploy workloads
- Define agent communication patterns
- Define agentic architecture roadmap
- Define schemas and data contracts
- Design standardized tool interfaces
- Develop evaluation and reliability testing
- Enforce safety and policy gates
- Engineer state and persistent memory
- Implement LLMOps tracing and debugging
- Implement human-in-the-loop workflows
- Implement interruptible long running execution
- Implement real time context retrieval
- Manage context latency and inference cost
- Mentor engineers and set engineering standards
- Monitor cost performance and telemetry
- Optimize model routing and fallback
- Optimize vector database retrieval
- Orchestrate services on clusters
- Prototype and mature AI capabilities
Perks/Benefits
- Continuing education support
- Continuous learning
- Family-friendly benefits
- Flexible time off
- Health care coverage
- Referral incentives
- Retail discounts
- Retirement planning
Skills/Tech-stack
APIs | Async systems | CI/CD | Cloud Computing | Containerization | Data Warehousing | Embeddings | Evaluation | Graph Databases | Graph Machine Learning | Knowledge graphs | Kubernetes | LLMOps | Lakehouse | Language Processing | Machine Learning | Natural Language | Natural Language Processing | NoSQL | Observability | Prompt engineering | Python | Relational databases | Reliability Engineering | Retrieval-Augmented Generation | Tracing | Vector Databases
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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