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AI Engineer (production / apps focus):
Design and ship AI-powered product features (LLMs, RAG, agents, ML APIs) into our existing services, working closely with backend, frontend, and data science teams.
Job ID: 152380921
Skills:
Algorithms, Distributed Computing, Machine Learning, data structures, Code Review, Python, Deep Learning, embeddings, ML experimentation, vector databases, code generation capabilities, LangGraph, model evaluation, Anthropic models, open source scans, LangChain, Generative AI frameworks, re-rankers, AI Search Index, monitoring in production, large language model architectures, quality gate checks, unit code tests, Prompt Engineering, aqua scans
Skills:
Docker, Flask, Python, AWS, Gcp, FastAPI, Rest Apis, Azure, Pinecone, Memory Concepts, LangGraph, Vector Databases, Embeddings, Chroma, semantic search, CrewAI, LangChain, Function Tool Calling, Agent Workflows, AutoGen, Milvus, Google ADK, Weaviate, Prompt Engineering
Skills:
Numpy, Pandas, Python, LangChain, CrewAI, Graph RAG, Prompt engineering, Azure OpenAI Service, Grog, Advanced GenAI Agentic Framework Concepts, Cloud-native AI integration patterns, AI Agents Tool Calling, AI integration patterns, Azure AI Foundry, AutoGen, LangGraph, Cloud Application Integration Deployment, AI Search Index, Agentic AI Systems, Semantic search solutions, Vector database integration, Amazon Bedrock, Multi-agent orchestration