Software Engineer Intern (AI/ML & Agentic AI) - Global AI-Native Talent Intelligence Platform (Fully Remote)

Software Engineer Intern (AI/ML & Agentic AI)

Are you passionate about AI, LLMs, and intelligent systems? Do you want to work on production-grade AI products instead of classroom projects and toy models? Do you want to Build Enterprise AI Systems That Power the Future of Global Hiring?

At SkillsCapital , you’ll build AI that is used by real customers across the U.S., U.K., Europe, and the Middle East—helping companies identify, evaluate, and hire the world’s best technology talent.

This isn’t another internship where you’ll spend months cleaning datasets or building isolated models.

You’ll work alongside experienced architects and product leaders to build the next generation of Agentic AI Recruiters , Talent Intelligence Systems , Custom LLMs , Semantic Search Engines , and AI-powered Decision Intelligence Platforms .

If you’re looking for a place where your code ships to production, your ideas matter, and your learning curve is exponential, we’d love to meet you.

About SkillsCapital

SkillsCapital is building one of the world’s most advanced AI-Native Talent Intelligence Platforms for specialist technology hiring.

We help technology consulting firms, staffing companies, and enterprises build world-class engineering capabilities by combining:

• AI-Native Talent Intelligence

• Agentic AI Recruiters & Talent Partners

• Custom Domain LLMs

• Deep Semantic Matching

• Delivery Readiness Intelligence

• Precision Candidate Evaluation

• Enterprise Talent Cloud

Our platform powers hiring across some of the world’s most specialized technology domains, including:

• SAP

• Salesforce

• Microsoft

• Oracle

• Cloud & DevOps

• Data & AI

• Cybersecurity

• Software Engineering

• Enterprise Architecture

Today, our AI platform has been trained on 20,000+ specialist consultant profiles and operates across an 11,800+ deeply vetted, deployment-ready technology talent cloud , continuously learning from real hiring outcomes and enterprise delivery data.

We’re building much more than recruitment software—we’re creating the intelligence layer that helps organizations make faster, smarter, and more confident talent decisions.

Why This Internship Is Different

Unlike traditional AI internships, you’ll work on products that solve complex, real-world enterprise problems.

You’ll contribute to building systems such as:

• Agentic AI Recruiters

• Talent Intelligence Engines

• Semantic Search & Retrieval Systems

• Multi-dimensional Candidate Matching

• AI-powered Resume Intelligence

• LLM-driven Candidate Evaluation

• Delivery Readiness Intelligence

• AI Interviewing & Assessment

• Recommendation & Ranking Engines

• Enterprise Knowledge Graphs

• AI Copilots for Recruiters and Hiring Managers

Your work won’t sit in a notebook.

It will be deployed into production and used by global customers.

What You’ll Build

Depending on your interests and strengths, you’ll contribute across multiple AI initiatives.

Agentic AI

• Multi-agent workflows

• Autonomous reasoning systems

• AI planning and orchestration

• Intelligent workflow automation

LLM Engineering

• Prompt engineering

• RAG pipelines

• Vector search

• Domain-specific LLM tuning

• AI evaluation frameworks

• Structured AI outputs

Machine Learning

• Semantic similarity models

• Recommendation systems

• Ranking algorithms

• Talent scoring models

• Search relevance optimization

• Classification models

Data & Intelligence

• Resume intelligence

• Job description intelligence

• Entity extraction

• Knowledge graphs

• Embeddings

• Feature engineering

Platform Engineering

• Python services

• APIs

• AI microservices

• Data pipelines

• Model deployment

• Performance optimization

Technologies You’ll Work With

You’ll gain hands-on experience with modern AI engineering tools, including:

• Python

• FastAPI

• PyTorch

• Scikit-learn

• Pandas

• NumPy

• Hugging Face

• LangChain

• OpenAI APIs

• Vector Databases

• Elasticsearch

• PostgreSQL

• Redis

• Docker

• Git

• AWS

• Azure

What We’re Looking For

We’re looking for builders, not just students.

You should ideally have:

• Final-year student or recent graduate in Computer Science, AI/ML, Data Science, or a related discipline

• Strong programming skills in Python

• Good understanding of machine learning fundamentals

• Curiosity around LLMs, Generative AI, NLP, and Agentic AI

• Ability to learn independently and solve problems

• Strong an…