Description

Required Skills:
✔️ Generative AI & Agentic AI Solutions
✔️ Advanced Python, Pandas, PyTorch
✔️ Hugging Face, Scikit-Learn
✔️ LangChain, LlamaIndex, LangGraph
✔️ CrewAI, AutoGen
✔️ RAG (Retrieval-Augmented Generation)
✔️ Multi-Agent AI Systems
✔️ AWS Bedrock, Azure OpenAI, GCP Vertex AI
✔️ Pinecone, Weaviate, FAISS, ChromaDB
✔️ FastAPI, Flask, Spring Boot, REST APIs
✔️ Docker, Kubernetes, CI/CD
✔️ MLflow, Model Monitoring & LLMOps
✔️ Prompt Engineering & Fine-Tuning
✔️ AI Governance, Security & Compliance
🎯 Key Responsibilities:
✅ Architect enterprise-grade Gen AI and Agentic AI solutions
✅ Design RAG pipelines, multimodal AI applications, and autonomous agent systems
✅ Build scalable cloud-native AI architectures
✅ Implement vector search and knowledge retrieval frameworks
✅ Lead model selection, evaluation, and deployment strategies
✅ Establish GenAIOps/LLMOps best practices
✅ Ensure AI security, compliance, and governance standards

Key Skills

Education

Bachelor's degree