• Projects 22
  • Rating 5.0
  • Rating 5 237

Budget: 27000 UAH Deadline: 10 days

Hello! I am the project manager of Business Atlas. We are not looking for a full-time position, but we offer the expertise of a whole team of AI engineers to implement your tasks. My experience includes over 50 projects, including the development of logic for Ajax and Genesis.
How we will strengthen MK:group and Localica.io:
• Ready AI-Pipeline: We specialize in building autonomous systems through n8n/Make, allowing the integration of any LLM (Llama, Mistral, Claude) into your localization processes without overwhelming code.
• Experience with RAG and Embeddings: We have cases of building context management systems and vector databases, which are critical for maintaining terminology and style during translation.
• Automation of Quality Evaluation: We implement AI agents for automatic quality checks and post-editing (experience with data processing automation case).
• Flexibility of Low-code: We combine the speed of prototyping on n8n with the ability to fine-tune models where necessary.
Our advantages over a full-time employee:
1. Speed: We start work on the day the contract is signed, without wasting time on onboarding.
2. Complexity: You get not just one engineer, but access to architects who have already deployed similar solutions in production (architecture audit case).
3. Guarantee: 14 days of free technical support and stability for each implemented workflow.

  • Projects 23
  • Rating 4.9
  • Rating 4 846

Budget: 27000 UAH Deadline: 1 day

Hello.

I am interested in your position of LLM & AI Engineer. I am involved in the development of AI systems in Python and the integration of LLM into production processes, so the tasks of building a pipeline for processing multilingual content and automating translation seem very close to my experience.

My stack:

• Python (FastAPI, automation, data pipelines)
• LLM integrations (OpenAI / Gemini / open-source models)
• RAG architectures and embeddings
• working with vector databases

  • Projects 31
  • Rating 5.0
  • Rating 3 148

Budget: 20000 UAH Deadline: 3 days

Hello. Over the past year, I have processed millions of requests to AI. Translation of texts, writing product descriptions with search through a web search tool, data analysis, etc.

I have my own solutions, scripts, etc.

If relevant - write, we will discuss.

  • Projects 8
  • Rating 5.0
  • Rating 879

Budget: 27000 UAH Deadline: 30 days

Hello!

I work with Python, Hugging Face, open-source models - Llama, Mistral. I have deployed models on GPU and VPS servers, performed fine-tuning through LoRA/PEFT for specific tasks. I have built RAG systems based on LLM with vector databases for working with large volumes of text. Of course, I also do automation using more powerful models (Claude Opus 4.6, Sonnet 4.6, Gemini 3.1 pro).

As for tools - LangChain, LlamaIndex, embeddings, inference optimization. I understand the architecture of LLM and the NLP pipeline from data collection to production deployment.

I quickly explore new tools and prototype solutions - this is what I enjoy most about working with AI.

The field of localization and machine translation is interesting - multilingual models and cross-lingual NLP are exactly the direction I want to develop in.

  • Projects 38
  • Rating -
  • Rating 250

Budget: 27000 UAH Deadline: 30 days

Hello!
Ready to dive into the deployment and optimization of open-source LLM and NLP models.

  • Projects 10
  • Rating 5.0
  • Rating 3 450

Budget: 27000 UAH Deadline: 1 day

Hello!

I am interested in your vacancy for LLM & AI Engineer. I have experience working with Python and process automation, including the integration of AI tools, working with model APIs, and building data processing pipelines.

I have worked with various AI solutions for task automation: processing text data, integrating LLM into services, creating scripts and services for collecting, processing, and structuring information. I also have experience with the Python ecosystem, REST APIs, databases, and building technical infrastructure for processing large volumes of data.

I am particularly interested in tasks related to:
• building AI pipelines
• integrating LLM into production systems
• working with embeddings, RAG approaches, and knowledge-base systems

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