AI & Software Engineering Intern

The interview process at Lanmea Group typically consists of three rounds: a technical interview, a technical and HR interview, and an HR interview. The technical interview will test your technical skills and knowledge, while the technical and HR interview will assess your problem-solving skills and ability to work with a team. The HR interview will evaluate your fit with the company culture and values. It's essential to be prepared for the interview by practicing coding problems, reviewing the company's products and services, and researching the company's culture and values.

Lanmea Group has an international work culture built on transparency, direct communication, and employee empowerment. You'll be working with a small, dedicated team, which means you'll be able to take real ownership of features and workstreams early on. You'll be getting professional and personal growth through technical mentorship from experienced builders and advisors.

Full-time availability required. Currently in your final year of, or recently completed, a degree in Computer Science, Engineering, Data Science, or a related field. We care more about what you've built than the exact discipline. Comfortable with modern web frameworks, front-end and back-end, and eager to work across the stack. Hands-on fluency with AI tools, and experience building with LLMs, RAG, agents, workflow automation, vector databases or open-source AI tooling. Exposure to data platforms, analytics or cloud infrastructure. A strong problem-solving instinct aimed at real-world business challenges. A self-starter who has built something of their own, a project, app, tool or side build, and goes deeper than asked. Genuine interest in finance, private markets, tech or B2B advisory.

Round 1: Technical Interview → Round 2: Technical and HR Interview → Round 3: HR Interview

Lanmea is a value creation and investment platform built on a simple belief: value creation comes first. Through Lanmea Forge, we help businesses execute with discipline and speed through a global ecosystem of specialist B2B advisory firms. Through Lanmea Capital, we are building a private markets platform focused on India and Southeast Asia. We believe technology, data and AI are how a modern platform compounds its advantage. We turn what we learn into structured data, internal tools and AI-assisted workflows that help our teams move faster and make better decisions across Forge and Capital. As our AI & Software Engineering Intern, you'll sit at the intersection of product, data and engineering, building real solutions used in live environments and seeing how technology creates value across advisory and investing. You'll be working on internal tools & software, building custom tools, dashboards and full-stack solutions used across the platform and our advisory firms. You'll also be working on data infrastructure, structuring data and pipelines that turn what we learn into a durable, queryable advantage. Additionally, you'll be working on applied AI, prototyping AI-assisted workflows, agents and automations that make real work faster. You'll also be assessing tools, platforms and architectures, and making clear build-versus-buy recommendations. You'll be shipping solutions into live environments, from the first map of a workflow to a working product. You'll be turning technical work into clear solution outlines, write-ups and case studies. You'll be working across the entire Lanmea group, with exposure to advisory, private markets, finance, marketing and sustainability. You'll be taking real ownership of features and workstreams early on. You'll be getting professional and personal growth through technical mentorship from experienced builders and advisors. You'll be part of an international work culture built on transparency, direct communication, and employee empowerment. You'll be shipping real solutions used in live environments, from internal tools and dashboards to AI-enabled workflows. You'll be working with a small, dedicated team, which means you'll be able to take real ownership of features and workstreams early on.