**What you will do** - **Architect & Roadmap**: Lead design sessions and produce detailed AI system blueprints, from data ingestion to inference services; - **Agentic Pipelines**: Specify and oversee construction of end-to-end LLM/ML pipelines for structured and unstructured energy data; - **RAG & Vector Search**: Define strategies for retrieval-augmented generation, vector databases, and knowledge graphs to power contract intelligence; - **Model Development**: Guide teams building models for contract auditing, price forecasting, and portfolio optimization; - **ML Pipeline to Full-Stack Deploy**: Design and oversee the end-to-end deployment of machine learning and AI pipelines into production, covering service hosting, containerization, and cloud infrastructure; - **Standards & Best Practices**: Establish coding standards, testing frameworks, and review processes for AI/ML workflows; - **Mentorship & Leadership**: Coach engineers in applied AI, review design docs, and present architecture reviews to stakeholders, including C-suite. **Must haves** - **8+ years** of professional **software development**, with **5+ years** in **production ML/AI systems**; - Proven track record as an **AI Architect or technical lead**, able to envision complex systems and drive them to production; - Demonstrated experience in **AI research & development**; - Publishing, prototyping novel approaches, or leading R&D; projects; - Proven experience building with **LLMs** (locally hosted and API-based), plus hands-on RAG/vector search experience; - Fluent in designing microservices and **REST APIs** for AI inference at scale; - Strong systems-level thinking and product mindset, able to balance research and engineering trade-offs; - Experience with **cloud-native platforms** (AWS, GCP, Azure), **Docker**, and **Kubernetes**; - Excellent verbal and written communication; - Сomfortable presenting to executive audiences; - Upper-Intermediate English level. **Nice to haves** - Early-stage startup experience, especially shaping nascent AI products; - Domain experience in energy, sustainability, or industrial infrastructure; - Thought-leadership in AI/ML: open-source contributions, publications, or conference talks; - Commitment to ethical, socially responsible AI. **About us** If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! **The benefits of joining us** - **Professional growth**:Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. - **Competitive compensation**:We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities. - **A selection of exciting projects**:Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands. - **Flextime**:Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office, whatever makes you the happiest and most productive. - We are rooting for you!_