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Urgent! Python Developer - Numpy/Pandas Job Opening In India, India – Now Hiring Lancesoft India Pvt Ltd

Python Developer Numpy/Pandas



Job description

<p><p><b>Title :</b> Python Developer.<br/><br/> <b>Duration :</b> 6 Months Contract with possible extension.<br/><br/> <b>Location :</b> Remote.<br/><br/> <b>Job Description :</b><br/><br/> <b>KNOWLEDGE, SKILLS AND EXPERIENCE :</b></p><p><p><b><br/></b></p>- 6 years of hands-on experience in Python development, with expertise in building and optimizing high-performance, scalable applications, including those powered by LLMs.<br/><br/></p><p>- Proficient in Python and frameworks such as FastAPI, Flask, and Django, with a strong focus on developing intelligent systems and agentic workflows.<br/><br/></p><p>- Practical experience in implementing and maintaining RESTful APIs, enabling seamless integration across services and tools.<br/><br/></p><p>- Strong understanding of relational and NoSQL databases including Oracle 19c/23AI, PostgreSQL, MySQL, and MongoDB.<br/><br/></p><p>- Proven ability to design and implement secure, scalable, and production-grade backend systems tailored for AI-driven applications.<br/><br/></p><p>- Direct experience building LLM-powered agentic workflows using frameworks like LangChain and LangGraph, including prompt chaining, memory management, and multi-step reasoning pipelines.<br/><br/></p><p>- Comfortable integrating modern AI frameworks and tools, with a focus on enabling autonomous agent behavior and dynamic tool use.<br/><br/></p><p>- Familiar with cloud platforms such as AWS or Azure, including experience deploying scalable AI applications in cloud environments.<br/><br/></p><p>- Proficient with Docker and Kubernetes for containerization and orchestration of microservices, ensuring deployment consistency and scalability.<br/><br/></p><p>- Experienced with version control systems like Git, using collaborative branching models and code review best practices.<br/><br/></p><p>- Skilled in writing and maintaining test coverage using frameworks like PyTest and UnitTest to support continuous integration.<br/><br/></p><p>- Strong debugging and performance optimization skills, with the ability to troubleshoot distributed AI pipelines and complex backend logic.<br/><br/></p><p>- Excellent collaboration and communication skills, with a proven ability to work across cross-functional teams including AI/ML, backend, and product.<br/><br/></p><p>- Hands-on experience with asynchronous programming models, supporting high-concurrency and event-driven architectures in applications involving Large Language Models (LLMs), LangChain, and LangGraph.<br/><br/></p><p>- Familiar with DevOps tools and practices, including implementing CI/CD pipelines to automate and streamline delivery.<br/><br/></p><p>- Exposure to frontend technologies such as React, Angular, or Vue.js for better end-to-end integration understanding.<br/><br/></p><p>- Familiar with AI/ML libraries such as NumPy, Pandas, Scikit-learn, TensorFlow useful for integrating lightweight intelligence into backend systems.<br/><br/></p><p>- Strong analytical thinking and problem-solving abilities, with experience addressing challenges in complex, agentic systems.<br/></p><br/></p> (ref:hirist.tech)


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