AI Engineer
INR 3000K-5000K (estimate) Mid-level Full Time
Tasks
- Build advanced RAG workflows
- Collaborate with engineering teams for integration
- Design AI solution prototypes
- Develop reusable Python APIs
- Evaluate and adopt emerging AI tools
- Evaluate and deploy models for inference
- Implement multi-agent systems
- Lead internal PoCs and technical demos
- Monitor token usage and latency
- Optimize inference pipelines
- Orchestrate agent interoperability protocols
- Train and fine tune language or vision models
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | Agent Communication Protocol | Agent Orchestration | Agent Protocol | Agent communication | Agent systems | Agent to Agent | Agent-to-Agent protocol | Autogen | Azure | Azure AI | Azure AI Search | Azure OpenAI | Communication protocol | Computer Vision | Context engineering | CrewAI | Distillation | Entity Extraction | Faiss | FastAPI | Fine Tuning | Flask | Langchain | Langgraph | Latency optimization | Llamaindex | LoRA | MCP servers | Model Context Protocol | Model Context Protocol Servers | Model Optimization | Multi-Agent | Multi-Agent Systems | NLP | OpenCV | PEFT | Pinecone | Prompt engineering | PyTorch | Python | Qdrant | Quantization | RAG | Scikit-learn | Semantic Kernel | Spacy | TensorFlow | Token Monitoring | Transformers | Vector Databases | Weaviate
Education
N/A
Roles
AI | AI Engineer | Engineer
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