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:
• 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.
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.
Hiring process:
• Intro call with a Recruiter — Technical Interview with the Hiring team — Final Interview with the CEO — Offer.
We offer:
• Flexible work environment — you can work remotely; • 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.
