Responsibilities Design and develop high-scale data architectures, considering factors such as performance, scalability, reliability, and maintainability. Architect and implement database designs from scratch, optimizing for query performance and data integrity. Leverage your deep understanding of web concepts, web services, asynchronous and parallel processing, and database connectivity to create efficient data pipelines. Apply data science principles to solve complex business problems and drive data-driven decision-making. Work with Large Language Models (LLMs) to develop intelligent data applications. Write clean, well-tested code and contribute to the development of automated testing frameworks. Manage large databases and indexes in production environments. Develop and execute data crawling strategies to extract relevant data from various sources. Collaborate with cross-functional teams to ensure alignment with business objectives and technical requirements. We need you to have: Must-Have 8+ years of experience in data related field. Strong foundation in computer science, with expertise in data structures, algorithms, and software design. Hands-on experience with Python for data analysis and development. Proven ability to design and implement high-scale data architectures. Deep understanding of web concepts, web services, asynchronous and parallel processing, and database connectivity. Knowledge of data science principles and their application in data engineering. Experience working with Large Language Models (LLMs). Proficiency in unit testing and automation test case development. Experience managing large databases or indexes in production environments. Data crawling experience. Good-to-Have Experience with MongoDB, ElasticSearch, or Neo4J. Familiarity with Flask, Django, Express, or microservices architectures. Exposure to Hadoop, Spark, or Kafka. Experience with SCM tools (branching, CI, deployment using Jenkins). Cloud experience with GCP, AWS, or Azure. You will be based out of: Pune, India.
Job Title: AI & Full Stack Technology Expert Product Engineering Role Overview: The company is seeking a self driven AI & Tech expert with full-stack development skills to architect, develop, and scale next-generation AI-powered products and client deliveries. This role combines deep technical expertise with product thinking, empowering the delivery of robust, data-driven solutions that directly impact user experience and business growth. Role & responsibilities Responsibilities Lead the design, development, and deployment of AI-driven web and product applications. Build highly-scalable front-end and back-end systems, integrating AI/ML models and algorithms to deliver new product functionality. Collaborate closely with product managers, data scientists, engineers, and designers to translate product requirements into technical solutions. Own the product architecture, ensuring high performance, reliability, and maintainability throughout the stack. Participate in the full product lifecycle: ideation, prototyping, MVP development, scaling, testing, and continuous improvement. Mentor junior talent and foster best practices in code quality, design patterns, and innovation. Keep up-to-date with the latest advances in AI, web development, and cloud technologies, contributing to the technical roadmap. Required Qualifications Bachelors/Masters degree in Computer Science, Engineering, or related field. Proven experience in full stack development: front-end frameworks (React, Angular, Vue), back-end stacks (Python, Node.js, Java), and cloud deployment. Practical experience integrating AI/ML modules and building data-powered product features. Experience in a product company, working within cross-functional teams focused on user-centric design. Deep expertise with REST APIs, microservices, containerization (Docker, Kubernetes), and CI/CD pipelines. Solid understanding of product development lifecycles, agile methodologies, and metrics-driven improvement. Nice to Have Demonstrated impact in building and scaling AI-powered products in fast-paced environments. Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn), cloud platforms (AWS, Azure, GCP), and data engineering tools. Experience in product roadmap planning, requirements analysis, and user research. Interested candidates can apply at smriti.mishra@partex.ai