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Role Overview:
Design, build, and deploy intelligent automation solutions using Agentic AI frameworks and modern LLM-based architectures.
AI Engineer (4–9 yrs)
Key Responsibilities:
Required Skills:
Good to Have:
Job ID: 149290191
Skills:
production deployment , Nlp, Apis, Python Programming, embeddings, LLMs, RAG, cloud platforms, vector databases
Skills:
CDK, Jenkins, Typescript, Javascript, Docker, Terraform, Kubernetes, Python, LangChain, AWS Bedrock, pgvector, Pinecone, Platform Events, LangGraph, Agentcore, Agentforce, GitHub Actions, Vertex AI, Salesforce Apex, Weaviate
Skills:
Apis, Machine Learning, Numpy, XGBoost, Pandas, AI/ML Model Deployment, LightGBM, LangChain, Feature Engineering, Ai, Scikit-learn, Llm
Skills:
Python, AWS, Api Integration, Gcp, Azure, pgvector, Qdrant, vector databases, Claude, Pinecone, LangGraph, Chroma, RAG architectures, LangChain, CrewAI, n8n, make, cloud environments, AutoGen, Zapier, MCP Model Context Protocol, OpenAI, Gemini, Weaviate
Skills:
Typescript, Javascript, Docker, Python, AWS, Gcp, FastAPI, Azure, Anthropic Claude, pgvector, Qdrant, Integromat, Google Gemini, OpenAI GPT-4o, Pinecone, CI CD, LangGraph, LLM APIs, LangChain, CrewAI, n8n, make, Zapier, Weaviate
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