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Job Title: Senior Data Scientist – Agentic AI Platforms & Applications

Job Description:

We are looking for a Senior Data Scientist to lead the design and development of agentic AI platforms and intelligent applications. This role focuses on leveraging large language models (LLMs), orchestration frameworks, and Python-based development to build autonomous agents that can reason, interact with tools, and perform complex tasks. You will play a hands-on role in shaping the system architecture and implementing key components that power agent behavior.

Key Responsibilities:

• Design and prototype AI agents using LangChain or similar frameworks.
• Apply LLMs to real-world tasks through prompt engineering, chaining, and tool integration.
• Develop Python-based pipelines and backend services to support agentic logic and orchestration.
• Integrate external APIs and SDKs to extend agent capabilities and data access.
• Collaborate on the development of planning, memory, and decision-making components within agents.
• Support experimental design, model evaluation, and iterative tuning of LLM-based workflows.
• Contribute to basic CI/CD workflows to ensure reliable model deployment and testing.
• Partner with engineering and product teams to translate business problems into scalable AI solutions.

Required Qualifications:

• 5+ years of experience in data science or applied machine learning, with a focus on NLP or AI applications.
• Hands-on experience with LLMs and orchestration tools such as LangChain, Haystack, or similar.
• Strong Python programming skills and familiarity with building modular, production-ready code.
• Experience working with LLM APIs (OpenAI, Anthropic, etc.) and retrieval-augmented generation workflows.
• Proven track record of designing and integrating APIs and third-party SDKs.
• Familiarity with agent-based systems and autonomous workflows.
• Working knowledge of CI/CD pipelines and MLOps fundamentals.

Preferred Qualifications:

• Experience with vector databases, tool use in agents, or multi-agent systems.
• Background in developing AI solutions in enterprise or research environments.
• Strong analytical thinking and ability to translate abstract problems into data-driven agentic solutions.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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