
Full Stack Developer, 7-10 Years
Posted 16 hours ago

Posted 16 hours ago
This is a fully remote position, open to applicants in India.
• Design, develop, and sustain robust, scalable, high-performance full-stack web applications utilizing Python FastAPI and React.js.
• Architect and enhance relational SQL and non-relational NoSQL database schemas.
• Incorporate AI/ML technologies, such as predictive modeling, NLP, or LLM-driven functionalities, into production workflows.
• Lead essential product features from technical specifications through design, development, testing, and deployment to production.
• Create and uphold clean, secure, and well-documented RESTful APIs utilizing FastAPI.
• Enhance frontend performance and minimize backend API latency to ensure low-latency responsiveness and high availability.
• Communicate technical designs and trade-offs effectively to engineers, product managers, and executive stakeholders.
• Champion clean coding practices, robust unit and integration testing, CI/CD, and perform code reviews.
• B. Tech or higher qualification.
• 7–10 years of professional software development experience in an enterprise or rapidly growing tech environment.
• Proficiency in Python with hands-on experience in asynchronous frameworks, particularly FastAPI.
• Strong expertise in modern React.js, including Hooks, state management solutions like Redux/Zustand, and contemporary UI libraries.
• Significant hands-on experience with SQL databases such as PostgreSQL and MySQL.
• Extensive hands-on experience with NoSQL databases including MongoDB, DynamoDB, and Redis.
• Practical experience integrating AI/ML libraries and models such as PyTorch, TensorFlow, Scikit-Learn, OpenAI API, LangChain, or Hugging Face into real-world applications.
• Familiarity with cloud platforms like AWS, GCP, or Azure.
• Experience with Docker and Kubernetes.
• Strong understanding of Microservices architecture, RESTful API design, and asynchronous task processing.
• Proficiency in Git, CI/CD pipelines, and automated testing frameworks.
• Excellent verbal and written communication skills.
• Preferred: experience with Vector Databases such as Pinecone, Weaviate, Qdrant, or Chroma.
• Preferred: experience with DevOps, Infrastructure as Code using Terraform, and monitoring/logging tools.
• Preferred: comprehension of MLOps pipelines and model deployment strategies.
• Any relevant AI/ML and Cloud certification is a plus.
• Employees have the option to work remotely.
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