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

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 SkillsCapitalSkillsCapital 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 IntelligenceAgentic AI Recruiters & Talent PartnersCustom Domain LLMsDeep Semantic MatchingDelivery Readiness IntelligencePrecision Candidate EvaluationEnterprise Talent CloudOur platform powers hiring across some of the world's most specialized technology domains, including:SAPSalesforceMicrosoftOracleCloud & DevOpsData & AICybersecuritySoftware EngineeringEnterprise ArchitectureToday, 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 DifferentUnlike 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 RecruitersTalent Intelligence EnginesSemantic Search & Retrieval SystemsMulti-dimensional Candidate MatchingAI-powered Resume IntelligenceLLM-driven Candidate EvaluationDelivery Readiness IntelligenceAI Interviewing & AssessmentRecommendation & Ranking EnginesEnterprise Knowledge GraphsAI Copilots for Recruiters and Hiring ManagersYour work won't sit in a notebook.It will be deployed into production and used by global customers.What You'll BuildDepending on your interests and strengths, you'll contribute across multiple AI initiatives.Agentic AIMulti-agent workflowsAutonomous reasoning systemsAI planning and orchestrationIntelligent workflow automationLLM EngineeringPrompt engineeringRAG pipelinesVector searchDomain-specific LLM tuningAI evaluation frameworksStructured AI outputsMachine LearningSemantic similarity modelsRecommendation systemsRanking algorithmsTalent scoring modelsSearch relevance optimizationClassification modelsData & IntelligenceResume intelligenceJob description intelligenceEntity extractionKnowledge graphsEmbeddingsFeature engineeringPlatform EngineeringPython servicesAPIsAI microservicesData pipelinesModel deploymentPerformance optimizationTechnologies You'll Work WithYou'll gain hands-on experience with modern AI engineering tools, including:PythonFastAPIPyTorchScikit-learnPandasNumPyHugging FaceLangChainOpenAI APIsVector DatabasesElasticsearchPostgreSQLRedisDockerGitAWSAzureWhat We're Looking ForWe'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 disciplineStrong programming skills in PythonGood understanding of machine learning fundamentalsCuriosity around LLMs, Generative AI, NLP, and Agentic AIAbility to learn independently and solve problemsStrong analytical thinkingPassion for building products rather than academic prototypesBonus if you've worked with:Hugging FaceLangChainRAGVector DatabasesFastAPIDockerGitHub ProjectsKaggleOpen-source AI projectsWhat You'll LearnOver the course of your internship, you'll gain practical experience in:Production AI EngineeringEnterprise LLM SystemsAgentic AI ArchitectureSearch & Recommendation SystemsAI Product DevelopmentModel EvaluationMLOps FundamentalsScalable Backend EngineeringProduct ThinkingStartup ExecutionFew 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 1Build AI used by real customers globallyDirect mentorship from experienced founders, architects, and product leadersHigh ownership with minimal bureaucracyFlexible remote-first cultureFast learning and continuous feedbackExposure to startup scaling from product-market fit to global expansionOpportunity to convert into a freelance, contract, or full-time Software Engineer role based on performanceWho Should Apply?This role is ideal if you:Love building real softwareAre excited by AI beyond the hypeEnjoy solving difficult engineering problemsWant to understand how enterprise AI products are actually builtPrefer shipping products over writing assignmentsWant your internship to become the foundation of an exceptional engineering careerInternship DetailsDuration: 3–6 monthsMode: Remote (India)Engagement: Full-time preferred (substantial part-time may be considered)Stipend: Monthly Fixed Stipend + Additional Performance-based IncentivesHow to ApplySend your application to careers@skillscapital.io with:Your resumeGitHub profilePortfolio or personal projectsExpected internship start dateAvailability (hours/week)A short note explaining why this opportunity excites you and what you've built that you're most proud ofIf you've built something interesting using LLMs, AI agents, RAG, search, recommendation systems, or machine learning—even as a side project, we'd love to see it.We care far more about curiosity, problem-solving, and the ability to build than perfect grades.