Alehar currently lists an Intern - AI & Software Engineering opening on its official careers website. This is a technology role associated with its Bangalore, India location, not a finance internship despite the employer's advisory-business background. Its careers page describes work connecting business workflows with software, data and AI tools for client engagements.
Jobsii checked the vacancy and the employer's open-positions page on 8 October 2026. The listing remains publicly available with application instructions. Applicants should revisit the official source before sending their CV; a live listing is not a promise of selection, immediate joining or an interview for every candidate.
The position is full-time, lasts two to four months and pays INR 30,000 monthly. Bangalore is the listed location; remote, hybrid or office-only attendance is not specified. The employer gives no application deadline, vacancy count, graduation-batch restriction, numerical marks cutoff, fixed experience minimum or guaranteed permanent conversion.
Applicants may hold or pursue a bachelor's or master's degree in Computer Science, Information Systems, Engineering, Data Science or a related discipline; equivalent practical experience is also considered. Alehar seeks front-end and back-end framework familiarity, ownership, independent working and clear communication. Strong projects or internships can demonstrate impact. LLMs, RAG, AI agents, automation, vector databases and OpenClaw exposure are advantages, not universal mandatory requirements.
The work includes understanding client processes, developing software and data solutions, evaluating technology choices, and preparing solution outlines, presentations, proposals and case studies. Apply by emailing a one-page CV to careers@alehar.com. The official page does not publish recruitment stages, assessment format, working hours, equipment provision or relocation support.
Ask whether you must attend a Bangalore office and whether any client-site work is involved. Do not assume that collaboration with distributed colleagues means permission to work from home. If you would need to relocate, obtain written clarification of the attendance arrangement before making travel or accommodation commitments.
Confirm the expected start date, how the duration within the two-to-four-month range will be decided, and whether your academic timetable fits a full-time commitment. Discuss supervision, the payment schedule and any contractual conditions during the recruitment process. These are Jobsii's suggested questions, not benefits or arrangements already promised by Alehar.
The preparation guidance in this article is editorial advice from Jobsii, not an additional application requirement or a description of Alehar's interview process. Begin with accurate contact details, your education or practical background, and a short selection of relevant projects. Keep the document readable rather than reducing the font to squeeze in every activity.
For each project, explain the problem, your personal contribution and the outcome. Instead of writing only a list of frameworks, describe the feature you built, the data you handled and a tradeoff you made. If you worked in a group, distinguish your work from the team's combined result. Do not invent users, revenue or performance improvements.
Choose links carefully. A repository with a clear README, setup instructions and a working demonstration can be more useful than several unfinished links. Check that shared links are accessible without special permissions. Remove passwords, API keys, private datasets and client information from anything you share. A public portfolio is a suggestion here, not a compulsory submission.
One possible practice project is a small workflow tool that accepts a spreadsheet, checks missing or inconsistent fields and shows a review dashboard. Start with a fictional business scenario, such as tracking incoming service requests. Explain the user, the information they need and the decision the tool helps them make before choosing a technology stack.
Build a narrow, complete flow rather than a large unfinished application. For example, import a file, validate its contents, store acceptable records and let a user filter them. Include understandable error messages and describe how you would prevent duplicate submissions. This example is an independent learning suggestion, not an assignment issued by the employer.
When discussing your design, explain where validation happens, what happens when a request fails and how you would investigate a reported bug. Keep sample data synthetic. A short explanation of limitations and next steps shows more judgment than claiming a prototype is production-ready without evidence. You do not need to purchase courses or paid tools merely to follow this advice.
A useful demonstration should make clear what AI contributes and what ordinary application logic does. For instance, a document-search prototype could return relevant passages alongside an answer, allowing a reviewer to inspect the supporting material. Explain how you would handle a question that the uploaded documents cannot answer instead of treating every generated response as correct.
Discuss evaluation using a small set of representative questions, including ambiguous requests and unsupported topics. Consider incorrect citations, irrelevant retrieval and sensitive information as possible failure cases. Be honest about what you have tested. These are suggested preparation topics, not a claim that Alehar requires a particular model, cloud provider or technical assessment.
Practice describing a project to someone who does not know its libraries or architecture. Explain the original workflow, what changed and where a human still needs to review the result. A simple diagram or concise before-and-after explanation can help you communicate without relying on technical vocabulary alone.
Prepare an example of an unclear requirement and how you would clarify it. You might ask who will use a feature, what counts as a successful outcome and which exceptions matter most. Separate assumptions from confirmed requirements. During any discussion, present hypothetical situations as hypothetical rather than implying they describe Alehar's actual clients or internal processes.
Review the official role page, prepare the requested CV and address your message to the employer's published careers email. A descriptive subject such as Application - AI & Software Engineering Intern can help identify your interest, but Jobsii is suggesting that wording; the employer does not prescribe a subject line on the vacancy page.
Keep your accompanying message concise. State the role, your current study or work situation, realistic availability and one relevant project or experience. Confirm that the correct file is attached and that your contact details work. Do not send sensitive identity documents or financial details as part of an unsolicited introductory message.
Jobsii does not collect applications for this opening. Selection decisions and final internship terms remain with Alehar. Use the employer's current instructions rather than third-party salary guesses or invented closing dates. If an important condition is not explained publicly, ask for clarification instead of assuming a favorable answer.
Review the role details, deadline, and work mode before applying. Jobsii tracks the apply action so candidates can keep application history inside their dashboard.
