AI or ML Engineer - LLMs, RAG, LangChain, LangGraph
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Build RAG-based applications
- Build backend services
- Collaborate with stakeholders to deliver AI solutions
- Deploy AI applications to AWS and Azure
- Design agentic AI solutions
- Develop AI workflow automation
- Ensure security compliance privacy responsible AI
- Evaluate emerging AI technologies
- Implement prompt engineering evaluation guardrails observability and monitoring
- Integrate LLMs into enterprise applications
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AI Search | AWS | AWS SageMaker | Amazon Bedrock | Amazon CloudWatch | Anthropic | Artificial Intelligence | Azure | Azure AI | Azure AI Foundry | Azure AI Search | Azure Log Analytics | Azure Monitor | Azure OpenAI | CI/CD | Chroma | Docker | Dynatrace | Event Driven | Event-driven architecture | Faiss | Git | Guardrails | Hallucination reduction | Java | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Log Analytics | Machine Learning | Microservices | Milvus | Model Evaluation | Monitoring | Observability | OpenAI | OpenAI API | OpenSearch | Pinecone | Privacy Compliance | Prompt engineering | Python | RAG | REST APIs | Retrieval-Augmented Generation | Splunk | Spring AI | Spring Boot | Tracing | Vector Databases | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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