LITSLINK

LITSLINK is an international IT company specializing in B2B services and helping businesses build and scale digital products.

We work with clients from the US, Europe, and other global markets, supporting companies with software development, AI solutions, and digital product development.

At LITSLINK we believe in practical learning, mentorship, and growing new talents inside the company.
This internship is designed to give you real hands-on experience in IT sales and help you grow into a Junior Sales Specialist.

About the Internship Program

We are looking for a Trainee Sales Manager who wants to start a career in IT sales and business development.

This program is designed for candidates without commercial experience or with minimal experience, who want to learn how B2B sales work in the IT industry.

Duration: 1–2 months (may be extended depending on results)
Format: Remote / online office
Stipend: $100–200 (depending on candidate skills)

Successful trainees may receive an offer for the Junior Sales Specialist position.

Responsibilities

• Learn the fundamentals of B2B sales and the full sales cycle
• Research and identify potential clients (LinkedIn, Upwork, databases)
• Assist with launching cold outreach campaigns (email, LinkedIn)
• Support lead qualification and CRM management
• Participate in client calls and internal meetings
• Assist with preparing commercial proposals and presentations
• Conduct basic market and competitor research

Requirements

• Interest in sales, business development, and the IT industry
• Proactive mindset and strong willingness to learn
• Good communication skills
• Strong organizational skills and attention to detail
• English level — B2 or higher
• Basic familiarity with LinkedIn, email communication, and Google Workspace / MS Office will be a plus

What You Will Get

• Hands-on experience in real IT sales processes
• Mentorship and guidance from an experienced team
• Understanding of the full B2B sales cycle
• Opportunity to grow into a Junior Sales Specialist
• Flexible remote work format

We are looking for a Senior LLM Engineer / LLM Architect to join a project focused on building a production-grade LLM-powered document extraction pipeline.

The system analyzes complex documents and transforms their content into predefined structured data. The key challenge is ensuring that every extraction is accurate and traceable to the source, schema-valid, and free of duplicates.

This is a hands-on architecture role for someone who has already built and shipped complex LLM systems and knows how to make their quality measurable, testable, and reliable in production.

What you’ll work on

• Design and evolve a multi-stage LLM extraction pipeline: extract → validate → deduplicate/link → verify → iterate.
• Build structured document extraction with exact source references and evidence.
• Separate LLM-driven extraction from deterministic code-based validation.
• Design schema validation, record linkage, identity-based deduplication, and rule-conformance mechanisms.
• Build and maintain LLM evaluation frameworks using golden datasets, measurable quality metrics, regression testing, and automated quality gates.
• Design idempotent and resumable agent workflows with caching and token/cost optimization.
• Work with hybrid exact + semantic search and incremental indexing.
• Define executable acceptance criteria for LLM system quality.

What we’re looking for

• 3+ LLM-powered systems shipped to production, with measurable quality/evaluation frameworks you personally built or owned.
• Hands-on experience with LLM evaluation: golden sets, precision/recall or similar metrics, regression testing, CI quality gates.
• Strong experience with structured data/document extraction using LLMs.
• Proven ability to combine model-driven extraction with deterministic validation in code.
• Strong knowledge of RAG, information retrieval, hybrid search, embeddings/vector search.
• Experience with deduplication, record linkage/entity resolution, and data modeling.
• Experience designing multi-step / agentic LLM pipelines, including validation and verification loops.
• Strong software engineering and system architecture background.
• English — Upper-Intermediate+.

Nice to have

• Experience with insurance, finance, legal, or other regulated-domain documents.
• Knowledge graphs and entity resolution.
• Event-sourced or lakehouse-style versioned data stores.
• Adversarial verification patterns for LLM outputs.
• Experience building custom LLM evaluation tooling.

Important

This role is not focused on prompt engineering or standard RAG/chatbot development. We are looking for someone with deep production experience in building LLM systems where quality is validated through measurable evaluation and executable checks, not prompts alone.

Format: Full-time, remote.

We are looking for a Senior macOS Developer to work on a native screen recording and video processing application for macOS.

The product is a macOS screen recorder that captures high-quality video together with cursor movements, clicks, and other user interaction data. After recording, users can customize zooms, cursor effects, highlights, and other visual elements.

There is already a working PoC built with Swift, ScreenCaptureKit, and VideoToolbox. The main goal is to turn it into a stable, production-ready native macOS application.

What we’re looking for:

• Strong commercial experience with Swift and native macOS development
• Solid hands-on experience with AppKit
• Experience with ScreenCaptureKit or similar screen/video capture technologies
• Strong knowledge of AVFoundation, VideoToolbox, CoreMedia, and CoreVideo
• Experience with Metal and/or Core Image for real-time rendering or video processing
• Experience with performance profiling and optimization using Instruments
• Understanding of macOS permissions, signing, notarization, and distribution
• Ability to independently own architecture and complex features end-to-end

Nice to have:

• Experience building screen recording, video editing, streaming/capture, or screen-sharing applications
• Experience with OAuth 2.0 / PKCE, Keychain, URLSession, WebSockets/SSE
• Experience with Sparkle auto-updates and macOS CI/CD
• Ability to read Python and TypeScript code

Cooperation:

• Full-time during the active development stage
• After the main development phase, there may be an opportunity to transition to a part-time / support & maintenance format
• Remote
• macOS hardware can be provided or reimbursed
• High level of technical ownership and autonomy