| Job Type | Full-time internship, 2–4 months |
|---|---|
| Work Mode | On-site, Bangalore |
| Stipend | ₹30,000/month |
| Eligibility | Final-year or recently completed degree in CS, Engineering, Data Science, or related field |
| How to Apply | Direct email application — no formal portal or job board form |
Lanmea has opened an AI & Software Engineering Intern position in Bangalore, aimed at final-year students or recent graduates who want hands-on exposure to building real software, data infrastructure, and AI-powered tools inside a live business — not a simulated training project. The role runs for 2 to 4 months, full-time, on-site, with a monthly stipend of ₹30,000 stated directly in the company’s own listing.
Understanding what Lanmea actually is
Lanmea is a value-creation and investment platform operating through two arms: Lanmea Forge, a global ecosystem of specialist B2B advisory firms (spanning corporate finance, sustainability, data & AI, and growth marketing under names like Alehar, Keslio, Ubisar, and Folmia), and Lanmea Capital, a private markets investment platform focused on India and Southeast Asia. Worth being upfront here: this is a newer, smaller platform, not an established big-name company — but it presents a genuine, professional operation with real, structured job listings, not a vague or suspicious posting.
What the internship actually involves
This role sits genuinely at the intersection of product, data, and engineering — you’re not siloed into one narrow lane:
- Internal tools & software: building custom tools, dashboards, and full-stack solutions used across the platform and its advisory firms
- Data infrastructure: structuring data and pipelines that turn what the company learns into a durable, queryable resource
- Applied AI: prototyping AI-assisted workflows, agents, and automations that make real work faster
- Architecture & evaluation: assessing tools and platforms, making genuine build-versus-buy recommendations
- Delivery: shipping solutions into live environments — from the first workflow sketch to a working product
- Communication: turning technical work into clear write-ups and case studies, not just code
What Lanmea is actually looking for
- Full-time availability required — this isn’t a part-time or flexible-hours internship
- Final-year student or recent graduate in Computer Science, Engineering, Data Science, or a related field — though the listing explicitly states they “care more about what you’ve built than the exact discipline”
- Comfort across the stack — front-end and back-end, modern web frameworks
- Genuine, hands-on fluency with AI tools — building with LLMs, RAG, agents, workflow automation, vector databases, or open-source AI tooling, not just AI awareness
- Some exposure to data platforms, analytics, or cloud infrastructure
- A strong problem-solving instinct aimed at real business challenges, not just technical puzzles
- A self-starter who has genuinely built something of their own — a project, app, tool, or side build — and tends to go deeper than asked
- Real interest in finance, private markets, tech, or B2B advisory
Why the “what you’ve built” emphasis matters
This listing is unusually direct about caring more about demonstrated builder instinct than formal academic pedigree — worth taking seriously if you have a genuine side project, even one unrelated to a job, since it’s explicitly named as more relevant than degree specifics.
How to actually apply — no portal, direct email
This is genuinely different from most listings we cover: there’s no formal application portal or job board form. You apply by sending directly to internship@lanmea.com with a one-page CV, your LinkedIn or GitHub, and a short note (or links) on something you’ve built yourself. Given how explicitly the listing emphasizes real builder work, the “something you’ve built” component isn’t a formality — treat it as genuinely central to your application, not an optional add-on.
Other roles worth knowing about
Lanmea is running two other internship listings simultaneously: an AI & Growth Marketing Intern role (running technology-driven marketing experiments) and an Investment Intern role at Lanmea Capital (researching PE/VC fund managers) — both also based in Bangalore, both similarly structured. Worth checking if this specific engineering-focused role isn’t the right fit but the company itself appeals to you.
FAQs
1. Is there a formal application portal for this role?
No — applications go directly via email to internship@lanmea.com, with a one-page CV, LinkedIn/GitHub, and a note on something you’ve built. There’s no separate job board form to fill out.
2. Is the ₹30,000/month stipend figure officially confirmed?
Yes — this figure is stated directly in Lanmea’s own job listing, not a third-party estimate, making it a genuinely reliable number.
3. Do I need to be a Computer Science graduate specifically to apply?
Not strictly — the listing explicitly states they care more about what you’ve built than your exact academic discipline, though a CS, Engineering, or Data Science background (or closely related field) is the general expectation.
4. Is this a well-established, large company?
No — Lanmea is a newer, smaller value-creation and investment platform, not a large recognizable brand. It presents a genuine, professional operation with real structured listings, but candidates should weigh this against the stability and scale of larger companies when deciding where to apply.
About Lanmea
Lanmea is a value creation and investment platform, combining entrepreneurial drive with the discipline of an investment firm, powered by a growing advisory ecosystem. Rather than following the conventional model of building an investment firm first and bolting on value creation later, Lanmea started with value creation as its foundation — building the systems, people, and expertise it says actually...
View Company Profile →Top Interview Questions
Prepare with commonly asked questions for this role
This is genuinely the most important question to prepare for given the listing's own emphasis — pick one real project, explain the actual problem it solved, the technical decisions you made, and be honest about what didn't work initially, since depth and authenticity matter more here than polish.
RAG combines a language model with an external knowledge retrieval step — pulling relevant documents or data before generating a response, so the model's output is grounded in real, specific information rather than relying purely on what it learned during training. Reference a genuine project or use case if you have one.
I'd weigh the actual complexity and uniqueness of the need — a highly specific, core-to-the-business requirement often justifies building, while a well-solved, generic problem is usually better served by an existing tool — factoring in maintenance burden and team bandwidth, not just upfront cost.
Use a real, specific example — since 'goes deeper than asked' is explicitly listed as a trait Lanmea values, a genuine story here directly demonstrates the self-starter quality the listing is screening for, more than a general claim of initiative would.
A genuine answer connects real curiosity about how technology creates measurable business value — not just technical elegance for its own sake — since this listing explicitly wants candidates with authentic interest in the finance/advisory domain, not just engineering skill in isolation.