Software Engineer
GoodSpace AI
Job Overview
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Job Description
About GoodSpace AI
GoodSpace AI is redefining hiring with an AI-driven recruitment platform. We help founders and HR teams find, evaluate, and hire qualified talent within 24 hours by eliminating endless screening and manual interviews. We are a fast-growing startup backed by strong technology and passionate people.
Role Overview
The Software Engineer will join our core product team to build scalable, intelligent systems powering our AI recruitment engine. Work will involve automating candidate evaluation and building AI-driven matching pipelines with a modern, high-performance product stack.
Key Responsibilities
- Design, build, and maintain scalable APIs and microservices.
- Integrate ML/LLM-based features with product and AI teams.
- Write clean, efficient, and testable code.
- Optimize system performance and reliability.
- Participate in code reviews, architecture discussions, and feature planning.
- Collaborate with designers, data scientists, and backend engineers.
What You’ll Need
- 0–3 years of backend or full-stack development experience.
- Strong command of Python, Node.js, or Go (Python preferred).
- Experience with RESTful APIs, PostgreSQL/MySQL, and Docker.
- Familiarity with cloud platforms (AWS/GCP/Azure) and CI/CD pipelines.
- Good understanding of data structures, algorithms, and system design.
- Bonus: Exposure to AI/ML models, FastAPI, or LangChain.
Why Join Us
- Work on cutting-edge AI-driven hiring technology.
- Experience a fast-paced, product-first environment.
- Competitive pay, flexibility, and growth opportunities.
- Collaborate with passionate builders and problem-solvers.
Key skills/competency
Software Engineer, Python, APIs, Microservices, AI, ML, REST, Docker, Cloud, System Design
How to Get Hired at GoodSpace AI
- Research GoodSpace AI's culture: Study mission, values, and recent news.
- Customize your resume: Highlight AI, API, and backend skills.
- Showcase projects: Include examples of scalable systems.
- Practice coding interviews: Focus on algorithms and system design.
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