AI Engineer
Bengaluru, Karnataka, India
INR 2000K-4000K (estimate) Mid-level Full Time
Tasks
- Build RAG pipelines and agent workflows
- Build multi-agent systems
- Build scalable inference pipelines
- Conduct code reviews and technical design discussions
- Design and deploy AI-powered applications
- Develop scalable AI services and APIs
- Evaluate and optimize models for production
- Implement evaluation frameworks for AI quality
- Implement observability monitoring logging
- Integrate AI with enterprise systems and databases
- Optimize latency accuracy scalability
- Troubleshoot production AI systems
Perks/Benefits
Skills/Tech-stack
AI Agents | AWS | Agent systems | Autogen | Azure | CI/CD | Chroma | Cloud platform | CrewAI | Distributed Systems | Docker | Fine Tuning | GPU Optimization | Git | Google Cloud | Google Cloud Platform | Inference | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | Logging | MLOps | Milvus | Model Evaluation | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | PGVector | Pinecone | PostgreSQL | Prompt engineering | PyTorch | Python | REST APIs | Retrieval-Augmented Generation | Scalable APIs | TensorFlow | TensorRT-LLM | Text Generation | Text generation inference | VLLM | Vector Databases | Weaviate
Education
N/A
Roles
AI | AI Engineer | Engineer
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