Dreamix Ltd.
Senior AI Engineer
Remote AI Engineering role with clear candidate location fit.
PostedJul 2, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
Bulgaria
Role overview
Senior AI Engineer
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Responsibilities:
- Lead the design, development, and deployment of advanced AI and GenAI systems to address complex business challenges
- Collaborate with cross-functional teams to translate business requirements into robust technical solutions and actionable insights
- Work closely with software developers to integrate AI and data-driven modules into larger software solutions, ensuring seamless functionality and performance
- Mentor and guide junior data scientists and engineers, promoting best practices in AI/ML development
- Conduct comprehensive data analysis and model validation to ensure the robustness, reliability, and scalability of AI/ML solutions
- Communicate complex technical concepts and results to non-technical stakeholders clearly and persuasively, facilitating informed decision-making
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
- 4-5 years of experience in data science, machine learning, AI engineering, or software development, with a proven track record of deploying machine learning models and AI solutions in production environments
- Proficiency in Python, including frameworks and packages such as numpy, pandas, Scikit-learn, TensorFlow, PyTorch, Spacy, LangChain, and LlamaIndex
- Experience with GenAI techniques, including embeddings, vector databases, RAG, CoT/ToT, and LLMs (commercial like Anthropic, OpenAI, and non-commercial like Llama)
- Strong understanding of ML algorithms (e.g., XGBoost), feature selection, resampling, and optimization techniques
- Experience in applying ML for classification, document parsing, customer segmentation, and predictive analytics
- Hands-on with cloud computing platforms like Azure or AWS
- Familiarity with containerization and orchestration tools like Docker and Kubernetes
- Proficient in written and spoken English
What you'll get:
- A warm and supportive work environment where you can reach your full potential
- Flexible working hours that allow you to balance your work and personal life
- Unlimited home office to help you stay productive and focused
- Opportunities for professional development, including certifications and training
- Additional benefits for academic teaching and speaking engagements
- Knowledge-sharing sessions where you can learn from our Dreamix team
- Team and company-wide events that bring us together
- Amazing week long summer office and winter office initiatives
- Additional health insurance and dental allowance to ensure your well-being
- Multisport card to encourage a healthy and active lifestyle
- Office massages to help you relax and unwind
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