PiHex Labs

🚀 Role Overview We're looking for a Software Engineer with strong experience in Python and C to join our team. You'll work on backend systems, high-performance components, and scalable architectures. This role offers hands-on experience with cloud platforms, DevOps tools, and collaborative product development. 🛠 Responsibilities - Build and maintain performance-critical systems using Python and C - Design and optimise REST APIs and backend infrastructure - Integrate with front-end frameworks as needed (React/Vue/Angular) - Work with both SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB) databases - Ensure scalability, security, and efficiency across applications - Manage deployments using CI/CD, Docker, and cloud platforms like AWS/GCP - Participate in code reviews, stand-ups, and agile workflows ✅ Requirements - Strong hands-on experience with Python and C - Knowledge of Django, Flask, or FastAPI - Experience with database design and query optimisation - Familiarity with version control (Git) and container tools (Docker/Kubernetes) - Understanding of cloud platforms (AWS, GCP , Azure) - Solid grasp of testing practices (unit, integration, TDD) - Analytical thinking and strong debugging skills - Good communication and team collaboration 🌟 Nice to Have - Experience in systems programming or embedded C - Familiarity with automation tools and DevOps practices - Exposure to AI/ML frameworks (TensorFlow, PyTorch) - Understanding of big data tools or serverless architectures 🎁 Perks - 💰 Fair Stipend or Salary Based on Skills and Experience - 🕓 Flexible Work Hours - 📍 Remote-Friendly Setup - 📈 Learning & Growth Opportunities - 👥 Collaborative Team Culture - 📬 How to Apply Submit your application using the Google Form. Show more Show less

🧑‍💻 Job Title Software Engineer (LLM Applications & AI Tools) 🏢 Company PiHex Labs 🌐 Website | LinkedIn 📍 Remote | 🕒 Full-Time / Internship 🧩 About PiHex Labs PiHex Labs is a modern tech firm focused on AI, software engineering, and scalable backend systems. We work with global clients to create robust, high-performance platforms that are secure, efficient, and reliable. 🚀 Role Overview We are looking for a Software Engineer with experience in LLM -based applications to join our team. This role involves building AI-powered tools, designing structured data pipelines with LLMs , and working on innovative applications that combine backend systems with intelligent front-end interfaces. You'll get to work on prompt engineering, structured data generation (JSON, APIs), and seamless integration of LLMs into real-world applications. 🛠️ Responsibilities Design and build LLM-based applications and pipelines for structured data generation and processing Develop prompt-engineering strategies to improve the accuracy and reliability of LLM outputs Work on backend integrations, APIs, and cloud-based deployments for AI-driven tools Implement best practices for scalable and efficient AI applications Collaborate on developing interactive front-end interfaces ( React/Next.js ) that integrate with AI-powered backends Write clean, maintainable, and well-tested code, participate in code reviews, and follow agile workflows ✅ Requirements Strong experience in Python ( FastAPI, Flask, or Django ) Familiarity with LLM APIs ( OpenAI, Anthropic, etc. ) and prompt engineering Good understanding of structured data formats ( JSON, YAML ) and API design Experience with cloud platforms ( AWS/GCP/Azure ) and containerization ( Docker ) Strong debugging skills and the ability to work with complex data pipelines Solid understanding of Git workflows and collaborative software development 🌟 Nice to Have Experience with LangChain, Instructor , or similar LLM frameworks Exposure to front-end frameworks ( React, Next.js ) for building AI-powered interfaces Knowledge of data transformation tools and scientific data formats ( JSON-LD, etc. ) Familiarity with DevOps practices and CI/CD pipelines 🎁 Perks 💰 Fair Stipend or Salary Based on Skills and Experience 🕓 Flexible Work Hours 📍 Remote-Friendly Setup 📈 Learning & Growth Opportunities 👥 Collaborative Team Culture 📬 How to Apply Submit your application using the Google Form .