Senior AI Engineer
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Build LLMOps pipelines
- Build MLops pipelines
- Build RAG-architectures
- Build backend APIs
- Collaborate with cross-functional teams
- Deploy scalable AI solutions
- Design AI solutions
- Develop AI applications
- Develop AI observability
- Develop agentic frameworks
- Develop microservices
- Develop prompt engineering solutions
- Develop scalable AI services
- Implement fine-tuning
- Implement retrieval-augmented generation
- Integrate AI frameworks
- Monitor AI performance
- Trace AI applications performance
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | API Development | AWS Bedrock | AWS SageMaker | Apache Airflow | Application Insights | Azure AI | Azure AI Search | Azure Data | Azure Data Factory | Azure DevOps | Azure ML | Azure Synapse | Azure Synapse Analytics | CI/CD | Chroma | Cloud Platforms | CrewAI | Data Factory | Databricks | Docker | Faiss | FastAPI | Flask | GitHub Actions | GitLab CI | GitLab CI/CD | Google ADK | Google Vertex | Google Vertex AI | Grafana | Jenkins | Kafka | Kubernetes | LLMOps | Langchain | Langfuse | Langsmith | Language Models | Large Language Models | MLOps | MLflow | Microservices | Milvus | Monitoring | Node.js | Observability | PGVector | Pinecone | Prometheus | Prompt engineering | PyTorch | Python | Ragas | Retrieval-Augmented Generation | Scikit-learn | Synapse Analytics | TensorFlow | Vector Databases | Vertex AI
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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