AI Engineer
INR 2000K-5000K (estimate) Entry-level Full Time
Tasks
- Apply prompt engineering and context engineering
- Build multi-agent systems
- Conduct technical demos and feasibility assessments
- Create proof of concepts for integration
- Design AI-powered features
- Develop Python APIs and reference implementations
- Develop production ready advanced RAG workflows
- Implement agent interoperability and orchestration
- Lead internal AI product evangelism and prototypes
- Optimize inference pipelines and monitoring
- Recommend improvements for latency cost and performance
- Train fine tune and evaluate language or vision models
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AI Search | AI Services | AI Studio | Agent Communication Protocol | Agent Orchestration | Agent communication | Agentic AI | Anthropic Claude | Autogen | Azure AI | Azure AI Foundry | Azure AI Search | Azure AI Services | Azure AI Studio | Azure OpenAI | Communication protocol | Context engineering | CrewAI | Deep learning | Distillation | Document Understanding | Entity Extraction | Faiss | FastAPI | Fine Tuning | Flask | Generative AI | Hybrid retrieval | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Llamaindex | LoRA | Machine Learning | Model Context Protocol | Model Evaluation | Multi-Agent | Multi-agent orchestration | Natural Language | Natural Language Processing | PEFT | Pinecone | Prompt engineering | Python | Qdrant | Quantization | RAG | Re-ranking | Retrieval-Augmented Generation | Semantic Kernel | Vector Databases | Weaviate
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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