Job description
This role is for one of the Weekday's clients Salary range: Rs 700000 - Rs 800000 (ie INR 7-8 LPA) Min Experience: 1 years Location: Pune JobType: full-time We are seeking a skilled AI/LLM Software Engineer to design, develop, and optimize intelligent, scalable applications powered by modern AI technologies.
This role focuses on building robust backend systems, integrating Large Language Models (LLMs), and delivering high-performance APIs for enterprise-grade use cases.
You will work at the intersection of AI, cloud computing, and data systems, contributing to innovative solutions that enable data-driven decision-making and advanced analytics.
Key Responsibilities Develop and maintain AI-driven applications using Python with a focus on scalability and performance Design and build RESTful APIs using FastAPI for seamless integration of AI capabilities Implement and integrate Large Language Models (LLMs) such as OpenAI and Azure OpenAI into applications Work with relational and vector databases to enable efficient data storage, retrieval, and embedding-based search Apply text embedding and Retrieval-Augmented Generation (RAG) techniques to enhance NLP-driven features Ensure high code quality through object-oriented programming, modular design, and unit testing Deploy and manage applications on cloud platforms such as AWS, Azure, or GCP Utilize Docker for containerization and efficient deployment of services Collaborate with cross-functional teams using Git for version control and code management Optimize performance, troubleshoot issues, and continuously improve AI system efficiency Contribute to architectural decisions and best practices for AI and backend development What Makes You a Great Fit 1–2 years of hands-on experience in Python development, especially in AI/LLM-based applications Strong understanding of FastAPI and RESTful API development Practical experience working with LLMs, including OpenAI or Azure OpenAI, along with RAG and embedding techniques Familiarity with vector databases and relational databases for AI-driven use cases Hands-on experience with cloud platforms (AWS, Azure, or GCP) and containerization using Docker Solid understanding of object-oriented programming, modular coding, and unit testing practices Proficiency in Git and collaborative development workflows Strong analytical and problem-solving skills with attention to detail Ability to work in a fast-paced, innovation-driven environment Good communication skills and ability to collaborate across technical and non-technical teams
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