Large Language Model (LLM) Engineering Intern

01 — The role

Why this role exists at EduRankAI

EduRankAI is developing next-generation technologies in Artificial Intelligence, Education Technology, Research, Product Engineering, and Digital Innovation. Most internships teach you to use AI; this one asks you to help build it. The Large Language Model (LLM) Engineering Internship is one of our flagship research and engineering programmes. It is deliberately not a prompt-engineering, chatbot-integration or API-consumption internship — it is a deep-technology programme focused on building foundational AI from first principles. Interns work alongside researchers and engineers on proprietary large language models, agentic systems, multimodal intelligence, AI infrastructure, distributed training platforms, programming languages, compiler technology, operating systems and next-generation computational architectures. It is intended for people who are drawn to genuinely hard engineering and scientific problems. Only a small number of candidates are selected.

02 — The work

What you will own

• 01 Design, develop, optimise and evaluate large language models and foundation models.
• 02 Implement transformer architectures and modern deep-learning techniques from the paper up.
• 03 Build data preprocessing and tokenisation pipelines.
• 04 Build and operate distributed GPU training runs; optimise training and inference performance.
• 05 Develop Retrieval-Augmented Generation (RAG) systems and agentic/autonomous workflows.
• 06 Build scalable AI infrastructure, model-serving paths and internal developer tooling.
• 07 Read, implement, reproduce and extend state-of-the-art research; run benchmarks and technical validation.
• 08 Contribute to AI alignment and safety evaluation of the systems you build.
• 09 Write engineering specifications, technical documentation and research reports.
• 10 Participate in architecture discussions, code reviews, technical seminars and engineering reviews.
• 11 Deliver production-quality software and research prototypes against defined milestones.
• 12 Extend the same first-principles approach to quantum AI: implement parameterised quantum circuits and quantum neural networks in simulation.
• 13 Study where quantum methods genuinely beat a classical baseline — and report honestly where they do not.
• 14 Work across the quantum stack as projects require: quantum NLP, optimisation (QAOA/QUBO), error correction and mitigation on noisy hardware, electronic-structure simulation (VQE), and hybrid classical-quantum execution pipelines.

03 — The expertise

What we look for

04 — The bar

Who thrives here

• → Currently pursuing or having completed B.E. / B.Tech., M.E. / M.Tech., MCA, M.Sc., or B.Sc. in a relevant discipline.
• → Available full-time for 8 months on the stated schedule.
• → Excellent programming ability and strong computer-science fundamentals.
• → Strong mathematical reasoning and outstanding analytical problem-solving.
• → Demonstrated ability to learn independently, with genuine curiosity for research.
• → Additional consideration is given for competitive-programming achievements, research publications, open-source contributions, or prior work on AI systems, developer tools, distributed systems, programming languages or compilers.
• → Also valued: a background in formal logic, symbolic AI, computational linguistics or knowledge representation; and advanced proficiency in Sanskrit for computational-linguistics and semantic-reasoning work.
• → Interns may access confidential information, proprietary source code, datasets and research materials, and must maintain strict confidentiality and comply with all intellectual-property and information-security obligations.
• → This programme is fully in person for its full 8 months — it is not remote or hybrid.
• → Selected interns must be resident within EduRankAI’s highest-protocol zone for the duration of the programme and comply with its access-control, information-security and conduct requirements.
• → Open to candidates worldwide. Overseas interns are supported on a separate stipend band (up to CHF 25,000 per month) and are subject to the same in-person and protocol-zone requirements.
• → CITIZENSHIP RESTRICTION: this is a high-protocol, secure programme. Citizens of Pakistan, Turkey (Türkiye) or China, and citizens of any country hostile to Bharat (India), are not eligible for this programme.
• → Because the programme is performed in person inside a restricted-protocol zone and involves proprietary and controlled research, every offer is additionally conditional on obtaining the security clearance, background verification and work authorisation required for that access. EduRankAI cannot guarantee that a government clearance or employment visa will be granted, and an offer may not be possible where it is not. Applicants are asked to confirm they can satisfy these requirements before applying.
• → MANDATORY VERIFICATION: candidates must provide complete citizenship and identity documentation. EduRankAI may additionally require a full verified bonafide history covering birth to the present — including residence, education, employment and travel history — and may verify any of it with the issuing authorities. Documents are shared as Google Drive links with "Anyone with the link" access enabled; they are never uploaded to this site.
• → EduRankAI reserves the absolute and sole right to reject any application, at any stage and without obligation to give reasons, and to withdraw an offer where verification is incomplete, refused, or found to be inaccurate.

Learning Outcomes

What you will practically learn

Perks

What you get, beyond the work itself

• Performance-based stipend of up to INR 2,50,000 per month for exceptional performers
• Internship Completion Certificate
• Performance-based Letter of Recommendation
• Direct mentorship from experienced engineers and researchers
• Contribute to proprietary AI products and live research
• Exposure to large-scale engineering challenges and frontier technology
• Development in technical leadership, research methodology, engineering excellence and communication
• High performers may be considered for extended internships, research appointments or full-time roles based on organizational requirements.

Terms of Engagement

How this internship is structured

Project Work / Departmental Responsibilities: approximately 10 hours per day. Holistic Well-being & Personal Development: approximately 3 hours per day, including physical fitness, mindfulness, reading, reflective learning, leadership development, and community engagement.

• · THIS IS NOT A CONVENTIONAL INTERNSHIP. It is a full-time, fully in-person, research-intensive engineering programme in which interns are treated as contributors to live products and research, structured to match the responsibilities, expectations and working culture of a high-performance technology and research organization.
• · Structure: Full-time. Fully in person. 8 months. 7 days per week. Approximately 13 hours per day. Approximately 91 hours per week. Approximately 2,900+ hours total programme engagement.
• · Of each day, approximately 10 hours are for engineering, research, software development, technical learning, project execution, meetings, documentation, experimentation and assigned organizational responsibilities.
• · The remaining approximately 3 hours per day are a required part of the programme, dedicated to structured physical fitness, strength and endurance training, sport, flexibility and mobility, nutrition and dietary discipline, meditation and mindfulness, reading and continuous learning, leadership development, communication and interpersonal skills, and ethical and professional development. Participation forms part of the overall evaluation.
• · This is structured as an intensive professional development programme and therefore requires a significant level of commitment, discipline, accountability and consistency.
• · NATURE OF WORK: interns contribute to live organizational projects and may be assigned responsibilities equivalent to those of software engineers, AI engineers, machine learning engineers, research engineers or systems engineers, depending on organizational requirements and demonstrated capability. Assignments may include production-quality software engineering, building and optimising large language models, developing AI agents and intelligent systems, software architecture and system design, research and implementation of state-of-the-art AI techniques, distributed systems and AI infrastructure, programming language and compiler technologies, operating and runtime systems, research experimentation and benchmarking, technical documentation and design specifications, product development and innovation, cross-functional engineering collaboration, and additional technical, research, engineering or organizational responsibilities assigned during the programme.
• · PERFORMANCE EXPECTATIONS: deliver high-quality technical work; meet project milestones and deadlines; demonstrate continuous learning and technical growth; participate in engineering reviews and technical discussions; maintain professional communication and collaboration; uphold research integrity and engineering ethics; take ownership of assigned work; participate actively in organizational learning and development.
• · Performance is evaluated continuously through project outcomes, code quality, engineering reviews, research contributions, technical assessments, presentations, mentor evaluations and overall organizational impact.
• · STIPEND: this is a paid, performance-based internship. Interns demonstrating exceptional technical capability, engineering excellence, research contribution, innovation, leadership and measurable organizational impact may be awarded up to INR 2,50,000 per month; for overseas interns the corresponding band is up to CHF 25,000 per month. The stipend is awarded solely at the discretion of EduRankAI on demonstrated merit, technical performance, contribution to organizational objectives and applicable policy. Only a limited number of exceptional interns qualify for the maximum band.
• · SECURITY PROTOCOL: selected interns are required to be resident within EduRankAI’s highest-protocol zone for the duration of the programme, and to comply fully with the access control, information-security and conduct requirements that apply within it.
• · CONFIDENTIALITY & INTELLECTUAL PROPERTY: interns may be given access to proprietary software, source code, datasets, research materials, documentation, technical designs, business information, internal systems and intellectual property, all of which must be treated as strictly confidential. All software, research, algorithms, models, documentation, datasets, inventions, discoveries, designs and other work products created during the internship in connection with organizational work remain the exclusive intellectual property of EduRankAI unless otherwise agreed in writing.
• · ZERO TOLERANCE: EduRankAI reserves the absolute right to immediately revoke an internship offer before joining, suspend an intern, terminate the internship without prior notice, discontinue stipend payments, revoke access to organizational systems, withhold internship certification, and initiate appropriate legal, civil, criminal or disciplinary proceedings where an intern is found to have engaged in, attempted, or is reasonably suspected of engaging in: breach of confidentiality or non-disclosure obligations; unauthorised disclosure, copying, downloading, sharing, retention, modification or misuse of organizational information, source code, research materials, datasets, credentials, documentation or intellectual property; sabotage, malicious activity, cybersecurity violations, intentional disruption of organizational systems or interference with research or engineering activities; fraud, plagiarism, fabrication or falsification of research or technical work, impersonation or forgery, or submission of false information; misrepresentation of qualifications, identity, experience, achievements or eligibility; harassment, discrimination, intimidation, abuse or workplace misconduct; violation of organizational policies, information-security requirements, ethical standards, internship agreements or applicable law; persistent indiscipline, insubordination, repeated absenteeism, failure to maintain expected performance standards, or conduct detrimental to the organization; or any act likely to damage the reputation, operations, employees, clients, partners, research initiatives or business interests of EduRankAI.
• · EduRankAI may investigate any suspected misconduct and take immediate interim action, including suspension of access to all organizational resources, pending completion of the investigation.
• · CERTIFICATION: interns who complete the programme and satisfy all technical, research, behavioural, attendance, compliance and organizational requirements are awarded an Internship Completion Certificate. Completion does NOT constitute or guarantee employment. Extensions, research appointments, contractual engagements and full-time opportunities depend solely on organizational requirements, role availability, demonstrated performance and overall contribution.

05 — Hiring process

What to expect after you apply

1. 01

   Application review

   Every application is read personally within five business days. We respond either way.

2. 02

   Take-home or live exercise

   Role-specific. Time-boxed. Real problems we are actually working on, not invented puzzles.

3. 03

   Conversations

   Deep technical and values conversations with the team you would join. No trick questions. No panel ambushes.

4. 04

   Offer or honest no

   If yes: digital offer letter, signed in-portal, transparent terms. If no: written feedback if you want it.