AgileEngine is a leading software development company that creates award-winning solutions for top brands and innovative startups across various industries. We excel in areas like application development and AI/ML, and our people-centric culture has earned us multiple Best Place to Work awards. If you're looking for a challenging role where you can grow professionally and work with passionate individuals, we'd love to meet you. Key Responsibilities: - Design sessions and produce detailed blueprints for AI systems, from data ingestion to inference services; - Specify and oversee the construction of end-to-end pipelines for structured and unstructured data using LLM/ML technologies; - Define strategies for retrieval-augmented generation, vector databases, and knowledge graphs to power contract intelligence; - Guide teams building models for contract auditing, price forecasting, and portfolio optimization; - Design and oversee the end-to-end deployment of machine learning and AI pipelines into production, covering service hosting, containerization, and cloud infrastructure; - Establish coding standards, testing frameworks, and review processes for AI/ML workflows; - Cook engineers in applied AI, review design documents, and present architecture reviews to stakeholders. Requirements: - 8+ years of professional software development experience, 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; - 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 skills; - Comfortable presenting to executive audiences; - Upper-Intermediate English level. Nice to Have: - 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. Benefits: - Professional growth: Accelerate your career with mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation: We match your 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 solution 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.