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

SkillsCapital

India

Remote

INR 167,000 - 335,000

Full time

5 hours ago
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Benefits offered by this job

Mentorship from founders and engineers
Remote-first culture
Potential to convert to full-time

Job summary

SkillsCapital is seeking an enthusiastic Software Engineer Intern (AI/ML & Agentic AI) to help build enterprise AI systems powering global hiring workflows. You’ll work across Agentic AI, LLM engineering, ML models, and data intelligence to ship production-grade features.

The internship offers remote-first work from India, with a monthly stipend and performance-based incentives, and potential progression to full-time.

Qualifications

  • Final-year student or recent graduate in Computer Science, AI/ML, Data Science, or related discipline.
  • Strong programming skills in Python and ML fundamentals.
  • Curiosity around LLMs, Generative AI, NLP, and Agentic AI.
  • Ability to learn independently and solve problems.

Responsibilities

  • Contribute to production AI systems and enterprise AI products.
  • Develop components across Agentic AI, LLM Engineering, and ML pipelines.
  • Participate in building semantic search, candidate matching, and knowledge graphs.
  • Collaborate with mentors and engineers to push product readiness.

Skills

Python
ML fundamentals
Independent learner
Analytical thinking
Product mindset
Team player

Education

Final-year CS/AI/DS student

Tools

Hugging Face
LangChain
RAG
Vector databases
FastAPI
Docker
GitHub Projects
Kaggle
Open-source AI projects

Job description

  • Enterprise Talent Cloud
  • Enterprise Architecture
  • Prompt engineering
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?

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 analytical thinking
  • Passion for building products rather than academic prototypes

Bonus if you've worked with:

  • Hugging Face
  • LangChain
  • RAG
  • Vector Databases
  • FastAPI
  • Docker
  • GitHub Projects
  • Kaggle
  • Open-source AI projects
What You'll Learn

Over the course of your internship, you’ll gain practical experience in:

  • Production AI Engineering
  • Enterprise LLM Systems
  • Agentic AI Architecture
  • Search & Recommendation Systems
  • AI Product Development
  • Model Evaluation
  • MLOps Fundamentals
  • Scalable Backend Engineering
  • Product Thinking
  • Startup Execution

Few internships provide exposure to such a broad AI stack while working on a live enterprise product.

Why Join SkillsCapital?

You’ll be joining a high-growth AI-first startup building products at the intersection of AI, enterprise software, and the future of work.

You’ll get:

  • Work on production systems from Day 1
  • Build AI used by real customers globally
  • Direct mentorship from experienced founders, architects, and product leaders
  • High ownership with minimal bureaucracy
  • Flexible remote-first culture
  • Fast learning and continuous feedback
  • Exposure to startup scaling from product-market fit to global expansion
  • Opportunity to convert into a freelance, contract, or full-time Software Engineer role based on performance
Who Should Apply?

This role is ideal if you:

  • Love building real software
  • Are excited by AI beyond the hype
  • Enjoy solving difficult engineering problems
  • Want to understand how enterprise AI products are actually built
  • Prefer shipping products over writing assignments
  • Want your internship to become the foundation of an exceptional engineering career
Internship Details

Duration: 3–6 months

Mode: Remote (India)

Engagement: Full-time preferred (substantial part-time may be considered)

Stipend: Monthly Fixed Stipend + Additional Performance-based Incentives

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