Bitmedia Labs

AI/ML Backend Engineer

About Bitmedia Labs
Bitmedia Labs — an international product IT company, has been in the industry since 2014, effectively functioning on a worldwide scale with a crew of 130+ ambitious and highly skilled professionals, creating successful projects in domains such as online advertising systems for the crypto space, blockchain games, and NFT products.

Required Qualifications:

• 2+ years of experience with Python programming and software development;
• Hands-on experience working with LLM models and APIs (OpenAI, Claude, Gemini, LLaMA, etc.);
Practical knowledge of AI/ML libraries and frameworks (LangChain, Hugging Face, PyTorch, TensorFlow);
Experience with vector databases (Pinecone, Weaviate, Qdrant, etc.) and embeddings;
• Demonstrated expertise in prompt engineering techniques and best practices;
• Basic experience with model fine-tuning and training pipelines;
• Strong SQL skills and experience with relational/NoSQL databases;
• Proven experience building APIs and backend services (RESTful APIs, background workers, task queues, data processing services) and understanding of application architecture and system design principles;
• Strong problem-solving skills, ability to work independently with minimal supervision, and capacity to research and learn new technologies autonomously;
• Experience with debugging, troubleshooting, and optimizing AI/ML solutions.
 

Preferred Qualifications:

• Experience with cloud platforms (AWS, GCP, Azure) for AI/ML deployment and production implementation of AI solutions;
• Knowledge of Docker containerization, DevOps practices, MLOps, model monitoring, and CI/CD pipelines;
• Understanding of semantic search techniques, advanced embedding strategies, and experience processing unstructured data (text, images, audio) at scale;
• Proficiency with data visualization tools and techniques (Plotly, D3.js, Tableau);
Working knowledge of web technologies fundamentals (HTML5, CSS3, JavaScript);
Knowledge of authentication, authorization, and security best practices for AI applications.

 

Responsibilities:

Conduct R&D in the field of artificial intelligence and machine learning;
Prepare and develop AI concepts and prototypes to solve business challenges;
Design and engineer effective prompts for large language models;
Train, fine-tune, and optimize machine learning models for specific use cases;
Develop and implement RAG (Retrieval-Augmented Generation) solutions;
Create and integrate AI-powered bots, virtual assistants, and chatbots;
Work with various LLM APIs (OpenAI, Anthropic Claude, Google Gemini, LLaMA, etc.);
Implement ML models for data analysis, NLP tasks, and content generation;
Build data processing pipelines and workflows;
Form and test hypotheses to improve product metrics and user engagement;
Collaborate with product teams to implement AI features that solve real user problems.


Hiring process:

• Intro call with a Recruiter — Technical Interview with the Hiring team — Offer.
 

We offer:

• Flexible work environment — you can work remotely anywhere or at our comfortable Hub in Kyiv;
• The 8-hour working day with a flexible schedule;
• Competitive salary based on your experience;
• Regular performance review and annual salary review;
• Paid sick leaves, vacation, and holidays;
• Professional development tools (reimbursement of educational courses or workshops, conferences around the world);
• Ambitious team with transparent communication and a friendly atmosphere, no micromanagement;
• Apple equipment;
• Memorable gifts for holidays.

Published 1 September
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