Senior Data Scientist_Data Scientist

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.