Software Engineer Intern (Full Stack) - Global AI-Native Talent Intelligence Platform (fully remote)

Are you passionate about building software that solves real-world problems? Are you a software engineer who loves building scalable products, solving complex engineering problems, and shipping features that reach real users? Do you want to work on production systems instead of classroom assignments? Are you excited by AI, scalable backend systems, modern web technologies, APIs, cloud infrastructure, and enterprise product development? Would you like to be part of a team building AI-Native Enterprise Products That Transform Global Talent Intelligence At

SkillsCapital , you'll work alongside experienced engineers to build one of the world's most advanced

AI-Native Talent Intelligence Platforms —helping technology consulting firms and enterprises make smarter hiring decisions through AI, Talent Intelligence, and intelligent automation. This isn't an internship where you'll spend months fixing bugs or building demo projects. You'll contribute to real features, write production code, and see your work used by customers across the U.S., U.K., Europe, and the Middle East. About SkillsCapital SkillsCapital is building an

AI-Native Talent Intelligence Platform that combines:

• Agentic AI Recruiters & Talent Partners
• AI-Powered Talent Intelligence
• Custom Domain LLMs
• Semantic Search & Matching
• Delivery Readiness Intelligence
• Enterprise Talent Cloud Our platform has been trained on

20,000+ specialist consultant profiles and powers an

11,800+ deeply vetted, deployment-ready technology talent cloud , helping organizations hire specialist technology talent faster and with greater confidence. We're building modern enterprise software at the intersection of AI, search, cloud, and intelligent workflow automation. Why This Internship Is Different You'll work as part of the engineering team—not alongside it. From Day 1, you'll contribute to production systems that solve complex business problems. You'll get the opportunity to:

• Build software used by global customers
• Ship production code regularly
• Work alongside experienced software architects and product engineers
• Learn modern engineering practices and AI-native product development
• Take ownership of meaningful features instead of isolated tasks
• Experience the pace and impact of a high-growth product startup What You'll Work On Depending on your interests and strengths, you'll contribute across multiple areas of the platform. Backend Engineering
• Build REST APIs and backend services
• Design scalable application logic
• Develop integrations with external platforms
• Optimize application performance Full Stack Development
• Build intuitive user experiences using modern web technologies
• Develop recruiter and client workflows
• Create dashboards and internal tools
• Build reusable UI components AI Platform Integration
• Integrate LLM-powered capabilities into products
• Build AI-assisted workflows
• Develop semantic search experiences
• Work with intelligent recommendation systems Platform Engineering
• Build internal tools and automation
• Improve developer productivity
• Work with cloud infrastructure
• Help optimize system reliability and scalability Technologies You'll Work With Depending on the project, you'll gain hands-on experience with: Languages
• Python
• JavaScript
• TypeScript Backend
• FastAPI
• Django
• Node.js Frontend
• React
• Next.js Databases
• PostgreSQL
• Redis
• Elasticsearch Cloud & DevOps
• Docker
• Git
• GitHub
• AWS
• Azure AI Stack
• OpenAI APIs
• LangChain
• Hugging Face
• Vector Databases
• RAG Pipelines What We're Looking For We're looking for builders with strong fundamentals and a desire to learn. You should ideally have:
• Final-year student or recent graduate in Computer Science or a related field
• Good programming skills in Python, JavaScript, Java, or C++
• Strong understanding of data structures and algorithms
• Familiarity with object-oriented programming and software engineering principles
• Basic understanding of databases and REST APIs
• Experience with Git and collaborative development
• Curiosity about AI, cloud technologies, and modern software architecture
• A willingness to take ownership and learn quickly Bonus if you've built:
• Personal software projects
• SaaS applications
• AI or LLM applications
• Open-source contributions
• Hackathon projects
• Developer tools What You'll Learn During your internship, you'll gain practical experience in:
• Production Software Engineering
• Enterprise Product Development
• Backend API Development
• Modern Frontend Development
• Cloud-Native Engineering
• AI Product Integration
• System Design Fundamentals
• Engineering Best Practices
• Agile Product Development
• Startup Execution You'll leave with experience that's difficult to gain in a traditional internship. Why Join SkillsCapital? You'll become part of an ambitious engineering team building products for the future of work. You'll get:
• Work on production systems from Day 1
• Ship features used by real customers worldwide
• Direct mentorship from experienced engineers and founders
• High ownership and responsibility
• Remote-first, flexible work environment
• Rapid learning across software engineering, cloud, and AI
• Opportunity to transition into a full-time Software Engineer role based on performance Internship Details

Duration: 3–6 months

Mode: Remote (India)

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

Stipend: Fixed Monthly Stipend + Additional Performance-based Incentive How to Apply Send your application to

careers@skillscapital.io with:

• Your resume
• GitHub profile
• Portfolio or personal projects
• LinkedIn profile
• Your availability (start date and hours/week)
• A short note on why you'd like to join SkillsCapital and what you've built that you're most proud of We care far more about curiosity, engineering ability, and the willingness to build than perfect grades. If you've created something you're proud of whether it's a web app, backend service, AI project, open-source contribution, or hackathon prototype we'd love to see it.