Full Stack Developer Internship - Remote

About Lacritz.ai and Internship Overview

Lacritz.ai is developing an AI-driven platform aimed at automating digital marketing for teams. This internship opportunity involves contributing to cutting-edge AI and software development projects in a fully remote setting.

Primary Responsibilities

• Assess and compare open-weight language models for accuracy, latency, memory consumption, and hardware needs, using tools like llama.cpp or Ollama.
• Gather and prepare high-quality datasets for fine-tuning language models via techniques such as LoRA/QLoRA, Hugging Face Transformers, and PEFT, ensuring evaluation data sets are maintained separately for performance comparison.
• Optimize inference by experimenting with quantization, GPU acceleration, context management, and caching. Implement streaming of generated responses and measure metrics like time to first answer and resource utilization.
• Integrate audio capture from microphones or system sound and develop local speech-to-text functionality that accommodates partial transcripts, different accents, background noise, and pauses.
• Contribute to desktop application development for Windows and macOS using Electron or similar frameworks; enable local AI service connectivity, model management, loading indicators, error handling, and packaging.
• Implement personalization by processing user-uploaded documents such as resumes and notes. Use retrieval and conversational context to generate relevant responses and minimize unsupported outputs.
• Perform comprehensive testing for latency, answer quality, and stability on target hardware, and produce detailed documentation on experiments, installation procedures, system limitations, and technical challenges.

Required Skills and Experience

• Demonstrable experience with a working AI application you can showcase and explain.
• Hands-on practice running large language models locally beyond simple cloud API calls.
• Proficient programming and debugging skills in Python.
• Familiarity with frameworks like PyTorch or Hugging Face Transformers.
• Knowledge of model inference processes, context windowing, and relevant hardware constraints.
• Competency in Git version control and effective communication skills.

Preferred Qualifications

• Experience completing LoRA/QLoRA fine-tuning experiments.
• Familiarity with quantization techniques, GGUF format, or tools such as llama.cpp or Ollama.
• Background working on speech-to-text, streaming audio, or voice assistant projects.
• Programming knowledge of JavaScript/TypeScript, React, and Electron frameworks.
• Experience with document retrieval methods, retrieval-augmented generation (RAG), or development for Windows and Apple Silicon platforms.

Additional Requirements

• Having developed at least one functional AI project related to personal, hackathon, freelance, or internship work; sharing a demo, GitHub repository, or project summary is encouraged.
• Preferred experience integrating LLM APIs within applications, including speech-to-text, streaming responses, or document-based Q&A systems.
• Comfortable working with Python and/or JavaScript/TypeScript, including familiarity with React, backend APIs, and WebSockets.
• Capability to explain code, troubleshoot independently, and take responsibility for assigned features with consistent feedback.
• Open to students or recent graduates with strong applied project experience; prior industry experience not mandatory.

Initial Project Milestone

Create a prototype for one operating system capable of capturing and transcribing audio locally, identifying user questions, and live streaming responses from a local language model. Document and measure latency, quality, and memory usage on specified hardware. Assess fine-tuning benefits before proceeding to support a second platform.

Schedule and Eligibility

• Work-from-home internship starting immediately, with start date between October 28 and December 2, 2026.
• Duration of six months, requiring full availability throughout.
• Open to candidates with relevant skills and interests, including female candidates seeking to start or restart their careers.
• Preference for candidates with backgrounds in Computer Science Engineering.

Compensation and Benefits

• Monthly stipend ranging from ₹11,000 to ₹13,500, consisting of a fixed component between ₹10,000 and ₹12,000 plus an incentive of ₹1,000 to ₹1,500.
• Additional perks include certificate of completion and letter of recommendation upon successful internship completion.