Senior AI Engineer
Role details
Job location
Tech stack
Requirements
Strong Python development experience
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Hands-on experience building LLM-based applications
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Familiarity with LangChain
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Experience generating and accelerating development using AI tools (e.g., Claude)
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Cloud experience -they are primarily in GCP/Azure so those are preferred
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Proven ability to build fast, functional prototypes, Skill sets: Ability to develop prototypes, PoCs, MVPs using one or more of the following,
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AI/ML Knowledge: Strong foundation in AI, deep learning, and machine learning principles.
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Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API.
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Large Language Model Expertise: Hands on experience building, fine tuning, evaluating, and deploying LLMs (open source and commercial).Agentic AI & Workflow
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Orchestration: Experience building agent based systems using tools like LangGraph, CrewAI, OpenAI agents, or similar frameworks..
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Multi-Modal Data and AI Tools: Experience with multi-modal data and intelligent agent-based tools.
Mindset: Self-motivated individual with a passion for solving hard problems using AI/GenAI. Must have collaborative and an innovative mindset.