JobsStaffinix LLCFull-Stack Developer Intern

Full-Stack Developer Intern

Staffinix LLC·Remote (India)·Posted 24 Aug·via LinkedIn

AI & Full-Stack Developer Intern – AI Recruitment Automation

Company: Staffinix LLC
Location: Hyderabad / Remote
Internship: 3–6 Months
Opportunity: internship to full time based on performance.

About Staffinix

Staffinix is building an AI-powered recruitment automation platform for the US IT Staffing industry. The product will automate job requirement extraction, resume intelligence, candidate matching, ATS resume optimization, and recruiter workflow automation.

Role

We are looking for 4 enthusiastic AI/ML & Full-Stack Developer Interns to work on this real-world product from the ground up.

What You Will Work On

- Build AI-powered Job Description and resume parsing.
- Develop candidate matching and recommendation systems.
- Work with LLMs, embeddings, NLP and vector search.
- Develop Python/FastAPI backend APIs.
- Build React-based recruiter dashboards.
- Work with PostgreSQL and structured/unstructured data.
- Develop ATS-friendly resume tailoring workflows.
- Build recruiter email draft automation.
- Perform API, AI and application testing.
- Use Git/GitHub and Docker for development and deployment.

Required Skills

- Python
- Basic Machine Learning / AI
- React or JavaScript
- SQL fundamentals
- Git/GitHub
- Good problem-solving ability
- Willingness to learn and build

Good to Have

- FastAPI
- Pandas / NumPy
- Scikit-learn
- PyTorch / TensorFlow
- Hugging Face
- Sentence Transformers
- FAISS
- PostgreSQL
- Docker
- LangChain/LangGraph
- AWS/Azure basics

Who Can Apply

Students or recent graduates from:

Computer Science | AI/ML | Data Science | IT | Software Engineering | Related fields

Candidates with GitHub projects, AI/ML projects, web applications, or strong academic projects are encouraged to apply.

What You'll Get

- Hands-on experience building a real AI SaaS product.
- Exposure to AI/ML + Full-Stack development.
- Experience solving real US IT Staffing problems.
- Mentorship from experienced staffing and technology professionals.
- Opportunity for a full-time position based on performance.

Selection Process

Resume → Technical Assessment → Practical Task → Interview

Interested candidates can apply with their resume

To : [contact shared on WhatsApp]

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