Senior AI/ML Engineer - Machine learning, Agentic AI, LangGraph
INR 3799K-5572K (estimate) Senior-level Full Time
Tasks
- Build conversational AI systems with multi turn interactions
- Build secure cloud native AI services on Azure
- Create automated testing and benchmarking pipelines
- Design and implement agentic AI solutions
- Develop GenAI rapid prototypes and solution patterns
- Develop LLM evaluation and reliability frameworks
- Implement RAG architectures with vector databases and reranking
- Implement containerized deployments with Docker and Kubernetes
- Implement guardrails and safety checks
- Lead GenAI technology exploration and evaluation
- Lead and mentor engineers with code reviews and technical direction
- Manage CI CD pipelines and operational readiness
- Optimize AI system performance for latency and cost
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | API Management | Agentic AI | Alerting | Artificial Intelligence | Autogen | Azure AI | Azure AI Search | Azure Container | Azure Container Apps | Azure Functions | Azure Key Vault | Azure Kubernetes | Azure Kubernetes Service | Azure OpenAI | CI/CD | Container Apps | Cosmos DB | CrewAI | Distributed tracing | Docker | Embeddings | Evaluation | Event Driven | Event-driven architecture | Generative AI | Guardrails | Hallucination detection | Human-in-the-loop | Incident Response | Key Vault | Kubernetes | Kubernetes Service | LLM | LLMOps | Langchain | Langgraph | Logging | MLOps | Machine Learning | Microservices | Monitoring | Observability | Prompt Optimization | Prompt engineering | Pytest | Python | RAG | Reranking | Safety filters | Security Scanning | Semantic Kernel | Semantic Search | Serverless | Testing | The Loop | Vector Databases
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