AWS AI Developer
4 days ago
- GenAI & LLM Frameworks
- Vector Databases (e.g., AWS OpenSearch & Kendra, FAISS, Pinecone)
- Word and Vector Embeddings (e.g., Word2Vec, BERT, Sentence Transformers)
- Frameworks & Toolkits (AWS Bedrock, LangChain, LangGraph, LlamaIndex)
- Cloud - AWS (preferably), Azure
- Agentic AI & Automation - AWS Bedrock Agents, LangGraph, AutoGen, CrewAI
- Programming & ML Skills
- Python (mandatory), SQL (Postgres), NoSQL (Dynamo DB, Mongo DB), Graph DB (Neo4j, Neptune)
- Libraries numpy, pandas, boto3, plotly, matplotlib, seaborn, ggplot, Scikit-learn, Requests, Beautiful Soup, NLTK)
- ML algorithms (Supervised, Unsupervised and Ensemble) & Deep Learning (using frameworks like TensorFlow, PyTorch, etc.)
- Web Development frameworks (Django, Flask, FastAPI)
- Conversational AI
- Chatbot development using LLMs or traditional NLP pipelines
- UI development using Python Streamlit or Gradio libraries
Roles & Responsibilities
- Design, develop, and fine-tune AI models using prompt engineering, fine-tuning, and retrieval-augmented generation (RAG).
- Implement and optimize large language model (LLM) workflows using LangChain, LangGraph, and LlamaIndex.
- Develop and orchestrate intelligent agents and agentic workflows for task automation.
- Integrate vector databases and embedding techniques (word/vector embeddings) for semantic search and knowledge retrieval.
- Build, test, and deploy chatbots and AI systems tailored to business requirements.
Apply machine learning & Deep Learning models for classification, segmentation, and regression problems Integration with platforms and APIs
Collaborate with cross-functional teams to deliver production-grade AI applications.
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