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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.
Responsibilities:
Required Qualifications:
Hiring process:
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.
Responsibilities:
- Conduct R&D in the field of artificial intelligence and machine learning;
- Design and implement RESTful APIs endpoints for AI-powered applications using FastAPI/Flask;
- Develop background workers and task queues for asynchronous AI processing and model inference;
- Engineer effective prompts for large language models and fine-tune models for specific business use cases;
- 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.
Required Qualifications:
- Solid 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.
- 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.
Hiring process:
- Intro call with a Recruiter - Technical Interview with the Hiring team - 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.
Join our team
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