AI/ML Engineer
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Location:
Hybrid – NYC/Chicago, IL. 3 Months – Till Dec 31 Required Qualifications
• 7+ years in software engineering or applied ML building real-world AI/ML systems; strong Python proficiency and backend development expertise.
• Hands-on experience building GenAI apps with LangChain and LangGraph, including agent design, state/memory management, and graph-based orchestration.
• Proficiency in ML/NLP and generative models; experience with embeddings, vector stores, RAG, and LLM integration/fine-tuning (OpenAI, LLaMA, Cohere, etc.)
• Strong coding in Python and experience with frameworks/tools such as FastAPI, PyTorch/TensorFlow, MLflow; solid understanding of software engineering fundamentals and secure development.
• Experience with AI agent frameworks and MCP; familiarity with agent observability (LangSmith/LangFuse) and agentic RAG patterns Track record of delivering scalable, production AI systems and collaborating across teams.
• Experience with agent frameworks (AutoGen, CrewAI), tool-use ecosystems, and advanced planning/reasoning strategies
• Knowledge of cloud platforms (AWS), MLOps, and data pipelines; React.js familiarity is a plus.
• Exposure to enterprise environments and secure, compliant deployments Key Skills Programming: Python; backend APIs (FastAPI) AI/ML: ML/NLP, generative AI, embeddings, model evaluation Frameworks: LangChain, LangGraph; plus LlamaIndex, PyTorch, TensorFlow, MLflow Architectures: RAG, Transformers, OCR Agents: Design and orchestration, memory/state management, tool integration; MCP and agent-to-agent protocols Observability: LangSmith/LangFuse for agent monitoring
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