AI Implementation Engineer - Tario

Role & responsibilities Proven experience in end-to-end AI implementation Strong hands-on expertise in RAG (Retrieval-Augmented Generation) and Natural Language Processing (NLP) Demonstrated ownership of at least 2 AI use cases from design to deployment Experience with vector databases, embeddings, and prompt engineering Ability to work independently and collaborate with cross-functional teams Develop and implement AI solutions leveraging expertise in Analytics and Data Mining across Web, Social, and Big Data platforms. Good understanding and implementation of Generative AI for content generation, creative applications, and problem-solving across various domains. Work as the data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products. Utilize Machine Learning techniques for pattern recognition and inference to enhance existing products and develop new strategic initiatives. Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Collaborate with cross-functional teams to integrate Natural Language Processing and Computational Linguistics into product development processes. Apply Statistical Modeling and Econometrics to analyze data and derive actionable insights for quantitative marketing strategies and to make predictions based on historical data. Contribute to the design and optimization of Large Scale Distributed Systems and Cloud Computing infrastructure. Enhance user experience through Human-Computer Interaction principles and Information Visualization techniques. Preferred candidate profile Bachelors, Masters, or Ph.D. in Computer Science, Engineering, or a related technical field. Proven experience in building and scaling AI-powered applications , preferably as part of SaaS products . Strong hands-on development skills in any modern programming language (e.g., Python, Java, Node.js, Go, etc.) language is flexible, but product-thinking is a must . Deep understanding of AI/ML concepts , including NLP, deep learning, and predictive analytics – especially from an application integration perspective. Practical experience applying AI to solve real business problems , not just experimentation or research. Sound knowledge of search systems , data modeling , and information retrieval – especially how users interact with large or complex datasets. Familiarity with cloud environments (AWS/GCP/Azure) and microservice-based architectures. Strong experience working with APIs, distributed systems, and cloud-native tools like S3, Redshift, Spark, etc. Bonus: Experience in building intelligent UIs or AI copilots for enterprise or productivity tools. Ability to own features end-to-end and collaborate closely with product managers and designers. Comfortable in fast-paced, cross-functional, startup-like teams. Perks and benefits Five Reasons You Should Join Tario: 1. Cutting-Edge Agentic AI Work: We are leveraging Agentic AI—the next-gen of AI where systems think and act like autonomous agents, not just passive tools 2. Clear Product-Market Fit: It’s tech that’s driving business value : more meetings, shorter sales cycles, higher response rates. Joining now means becoming part of a company with early traction and growth momentum . 3. High-Impact Roles & Ownership: As a growing company, Tario likely offers greater autonomy , faster decision-making , and the chance to wear multiple hats. 4. Solving a Universal Problem: Outbound sales are hard—most emails go unopened, and SDRs are overwhelmed. Tario's AI solves that pain with precision personalization at scale. 5. Strong Learning Curve: You will be exposed to the State-of-the-art AI/ML workflows, sales tech ecosystem (CRM integrations, outreach automation, engagement tracking), fast-paced product iteration and startup-style growth.