We are looking for an LLM & AI Engineer for the company.
445 USD Hello!
If technical organization of processes is your strong suit, we need to talk;)
The MK:group, which consists of the translation company MK:translations and the business localization company Localica.io
actively integrates AI and LLM technologies into the production of language services to scale the quality, speed, and efficiency of translation and expand the range of services.
In this regard, we are opening a full-time position for an LLM & AI Engineer who will help build and improve the AI infrastructure for the new generation of localization solutions.
Main tasks
• Research and implement AI/LLM solutions for automating translation and localization processes
• Deploy and optimize open-source LLM and NLP models
• Fine-tune models for specific language pairs, domains, and content types
• Develop an AI pipeline for translation, post-editing, and quality evaluation
• Build systems based on LLM, RAG, and embedding models for working with multilingual content
• Experiment with new open-source AI tools and adapt them to business tasks
We are looking for a candidate with
• experience with Python and AI/ML tools
• understanding of LLM architectures, NLP, or machine translation
• experience with open-source models (Llama, Mistral, etc.)
• experience with GPU, inference, and model deployment
• skills in working with vector databases / embeddings / RAG – will be an advantage
• experience with Microsoft 365 Copilot / Copilot
• ability to independently research new technologies and quickly prototype solutions
+++It will be a plus if you have
• experience with machine translation or localization tools
• experience with Hugging Face, LangChain, LlamaIndex
• experience fine-tuning models or working with LoRA/PEFT
• experience with multilingual or cross-lingual NLP
We offer
• competitive salary (from $1500)
• flexible working hours
• work with modern AI technologies in the field of language technologies
• the opportunity to build AI solutions from scratch in a production environment
• work in a stable yet dynamic company with international clients
• the opportunity to influence the creation of a new generation of localization products
This role requires at least 2 years of experience with GenAI, not experimental usage.
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10 days601 USD
10 days601 USD
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.
We will help you scale the quality of translation using AI faster than the market can react.
I suggest discussing one specific case (for example, the automation of the translation pipeline) that you plan to implement first. What do you say?
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1 day601 USD
1 day601 USD
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
• integrating AI into business processes via API
• automating workflows and processing text data
I have built systems for:
generating and processing text content through LLM
building AI pipelines (data collection → processing → generation → integration into services)
automating processes through Python services and APIs
integrating AI into production workflows
I am particularly interested in tasks:
• building a pipeline for translation / post-editing
• working with RAG systems for multilingual content
• experimenting with open-source models and their deployment
I can quickly prototype solutions and gradually transition them into stable production systems.
I would be happy to discuss the details of the tasks and the current AI architecture of your product.
I am ready to start collaborating soon.
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30 days445 USD
417 2 0 30 days445 USD
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3 days445 USD
3176 31 0 3 days445 USD
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.
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30 days601 USD
895 8 0 30 days601 USD
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.
…
I am ready to work)
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30 days601 USD
250 37 1 2 30 days601 USD
Hello!
Ready to dive into the deployment and optimization of open-source LLM and NLP models.
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1 day601 USD
3426 10 0 1 day601 USD
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
• automating processes for text processing and analysis.
I quickly explore new technologies and enjoy building practical solutions that can be used in real business processes.
I would be happy to discuss the details of your project and potential collaboration.
Thank you!
Kyiv