
Software Engineer
4 weeks ago
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&aposll 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.
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