Job Description
Your role in the company
We’re seeking a Senior AI Engineer with a strong background in machine learning and modern web development. You’ll play a key part in architecting and building a complex backend that intertwines AI at nearly every step of its architecture. You’ll design and implement data pipelines, develop Retrieval-Augmented Generation (RAG) solutions, and guide the evolution of our AI models—from fine-tuning existing frameworks to training cutting-edge models from scratch. Your work will directly inform how our platform processes, interprets and acts on the vast spectrum of data we collect.
What you will do
Main responsibilities:
- Architect & Develop: Design, implement, and maintain Python-based services that power our AI-driven platform.
- Advanced RAG Pipelines: Build and refine Retrieval-Augmented Generation workflows that integrate multiple data sources for highly contextual AI response.
- Model Fine-Tuning & Training: Lead efforts to adapt open-source models to our unique data and use cases and eventually develop proprietary models from scratch as the platform grows.
- Data Management and Engineering: Create and optimize robust data pipelines for collecting and processing large volumes of data.
- Full Backend Ownership: Take part in the complete backend ecosystem—everything from database modeling and API design to integration with frontend interfaces.
- Cross-Functional Collaboration: Work closely with data scientists, product managers, and UX teams to align our technical solutions with user needs and business goals.
- Continuous Innovation: Stay on top of the latest AI research and tools, evaluating their applicability to Flux AI’s evolving platform needs.
What we need
Our dream teammate possesses certain skillset:
Essential requirements:
- Strong Python Skills: Solid background in Python-based OOP (5+ years) and backend development, with familiarity in frameworks like TensorFlow, PyTorch, or similar.
- AI/ML Savvy: Hands-on experience with machine learning (NLP, classification, regression, recommendation systems), semantic analysis, RAG, model finetuning, and training.
- Data Management: Experience architecting ETL/ELT pipelines, handling data orchestration, and ensuring data quality for downstream AI applications.
- Strong Communication: Fluent in English with an ability to articulate complex technical concepts to non-technical audiences.
- Proactive Mindset: A passion for innovation and a knack for translating big-picture visions into tangible, high-quality deliverables.
Requirements considered an advantage:
- Experience with various GenAI APIs.
- Familiarity with tools such as lightllm, langchain, and lama-index.
- Experience with frameworks like Dash and Streamlit.
Our benefits
We offer various benefits:
Personal benefits:
- Career path and salary updates.
- Additional health insurance.
- Multisport card.
- Additional paid leave after 3rd year.
- Company psychologist.
- Christmas bonus.
- Baby bonus.
- Yearly bonus for sport equipment.
- Bonus for bicycle.
Team and workplace benefits:
- Office in downtown Sofia.
- Environment with highest standards.
- Young and passionate team.
- Regular team and company events.
- Company training activities.
- Monthly teambuildings.
The Process
The steps you need to complete:
- Screening – Each resume is personally evaluated by an HR representative based on various criteria. During this initial step only the shortlisted candidates are contacted.
- Test – One or two short online questionnaires taking ≤ 1 hour to complete.
- HR interview – A behavioral interview with a recruiter that takes ≈30 minutes and stresses on motivational and success factors.
- Assignment – Online assignment with strict requirements, testing the expected capabilities and creative thinking.
- Final Interview – Led by the hiring manager for the team, the interview discusses the job requirements and team fit.
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