Full Stack Development – Internship (WFH)

Full Stack Development – Internship (WFH)

Lacritz.ai is accepting applications for a Full Stack Development internship through its employer listing on Internshala. The role is work from home, runs for 6 months, and has 1 advertised opening. Applications are listed as closing on 27 November 2026.

The complete live employer listing was checked on 28 October 2026. This article reports that listing’s terms; it does not present the opportunity as independently confirmed by a separate employer recruitment notice. Jobsii shares the application information and does not conduct selection.

Internship details

• Employer: Lacritz.ai.
• Profile: Full Stack Development.
• Work mode: work from home, India.
• Duration: 6 months.
• Advertised monthly stipend: INR 10,000–12,000 fixed + INR 1,000–1,500 incentives/month.
• Joining window: 28 October–2 December 2026.
• Apply by: 27 November 2026.
• Openings: 1.

Compensation and working terms

Header total INR 11,000–13,500/month; incentives are not guaranteed fixed stipend.

Although the platform profile is called Full Stack Development, the detailed work is strongly focused on local AI and desktop applications. The responsibilities explicitly ask for a demonstrable AI application and practical experience running a local language model beyond making cloud API calls. The later section welcomes strong student projects and says previous professional experience is not required. Applicants should be able to explain their own code and what worked on the hardware they used.

Eligibility and skills

WFH availability for six months; relevant skills/interests. A demonstrable working AI application, hands-on local LLM experience beyond cloud API calls, strong Python/debugging, model inference/context/hardware understanding and clear communication. Students/recent graduates with strong projects welcome; prior professional experience not required. Not every listed tool is required.

The listed skills are Python, local LLMs, Git, PyTorch/Hugging Face; JavaScript/TypeScript, React, Electron, APIs, WebSockets, speech-to-text, RAG and fine-tuning useful. Candidates also need to be available for the complete advertised duration and to start within the stated joining window. A joining window and an application deadline are different: an available start date after the closing date does not extend the deadline for submitting an application.

What the intern will do

• Evaluate open-weight models for quality, speed, memory and hardware requirements with llama.cpp or Ollama.
• Prepare appropriately sourced data; fine-tune using LoRA/QLoRA, Transformers and PEFT; maintain separate evaluation data and compare base-model results.
• Explore quantization, GPU acceleration, caching and context management; stream responses and measure latency/resources.
• Integrate microphone/system audio and local transcription, handling partial transcripts, noise and accents.
• Build Windows/macOS application with Electron or comparable framework; connect local services and support loading, downloads, errors and packaging.
• Use uploaded reference documents/resumes/notes with retrieval and conversation context.
• Test latency, quality and stability; document experiments, limitations and blockers.

Perks and details to clarify

Certificate; letter of recommendation. Apply with demo/project walkthrough, GitHub/code sample if available, own contribution, inference/fine-tuning results and hardware limitations. Shortlisted applicants may have project walkthrough and small paid assessment of agreed scope.

Confirm the selected stipend within any advertised range, payment timing, reporting arrangements and expected availability directly with the employer before accepting. Where the listing does not specify an interview sequence or assessment format, this article does not invent one. The current advertisement remains the place to check updates or an early closure.

How to apply

1. Open the exact Lacritz.ai internship listing linked below.
2. Recheck the role, work mode, complete eligibility, stipend terms and deadline.
3. Sign in or register on Internshala if required to submit an application.
4. Update your profile with accurate education, skills, availability and relevant work or projects.
5. Answer the employer’s application questions in your own words, review the details and submit before the closing date.
6. Keep any confirmation supplied by the platform and check for employer messages or next steps.

Preparing a useful application

Prepare the requested demo or walkthrough, a code sample if available, and a clear account of local inference, latency, model limits and your own contribution. Do not claim experiments you did not run. These are Jobsii preparation suggestions, not additional selection requirements announced by the employer.

The source lists the closing date but does not independently state a closing timezone in its visible deadline. Apply ahead of the final hours. Neither a profile submission nor an advertised perk guarantees selection or conversion to permanent employment.

Source and application

Read the complete Lacritz.ai Full Stack Development listing and apply on Internshala