This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Conversation Designer, you will be responsible for designing and delivering best-in-class AI conversation models that power real-time coaching and assistance for contact center agents, as well as virtual agents across voice and chat. This role combines conversational design expertise with strong project ownership. - Manage complex AI delivery engagements from initial discovery through deployment and optimization. - Ensure projects stay on track, stakeholders remain aligned, and outcomes meet defined business objectives. - Collaborate closely with cross-functional partners across Machine Learning, Data Science, Engineering, Product, Project Management, and Customer Success. - Serve as a key point of contact for customers throughout implementation. - Help customers align on overall solution design and enable them to build and maintain their own models using Cresta Opera, our proprietary self-service tool. Responsibilities - Own end-to-end AI delivery projects, including discovery, requirements gathering, solution design, build, deployment, QA, and post-launch optimization. - Manage multiple concurrent customer implementations, balancing timelines, priorities, and stakeholder expectations. - Partner cross-functionally to define scope, track milestones, mitigate risks, and ensure successful execution. - Translate customer business objectives into scalable conversational AI solutions across sales, retention, collections, and customer service use cases. - Drive alignment with customer stakeholders through regular working sessions, solution reviews, and executive-ready presentations. - Lead model maintenance and performance tuning efforts to ensure ongoing quality and measurable impact. - Deliver Cresta’s Opera Enablement Program to key stakeholders, empowering customers to independently design, build, and QA their own AI models. - Design and develop virtual agent solutions using flow-based, prompt-based, and hybrid architectures. - Contribute to internal best practices, documentation standards, and repeatable delivery frameworks. Qualifications - Strong written and verbal communication skills, with the ability to drive alignment across technical and business stakeholders. - Demonstrated project management experience, including managing multiple complex workstreams simultaneously. - Proven ability to independently own deliverables, timelines, and cross-functional coordination in a fast-paced environment. - 2+ years of experience in conversational design, conversational AI, or bot development. - Experience presenting complex solutions to customer stakeholders, including executive audiences. - Experience working directly with enterprise customers in implementation or delivery roles. - Fluency in a second language (preferred). - Background in Linguistics (preferred). - Experience with prompt engineering (preferred). - Experience with Dialogflow CX (preferred). Benefits - Comprehensive medical, dental, and vision coverage with plans to fit you and your family. - Flexible PTO to take the time you need, when you need it. - Paid parental leave for all new parents welcoming a new child. - Retirement savings plan to help you plan for the future. - Remote work setup budget to help you create a productive home office. - Monthly wellness and communication stipend to keep you connected and balanced. - In-office meal program and commuter benefits provided for onsite employees.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Ontra is seeking a Staff Software Engineer to work on our innovative purpose-built AI solutions. This role involves: - Building AI-powered features that automatically mark up contracts during negotiations. - Extracting obligations buried in complex fund documents. - Transforming messy legal text into structured data that investment firms rely on. This position is ideal for those who enjoy: - Tackling complex technical challenges. - Architecting robust and scalable systems. - Collaborating with cross-functional teams. - Driving project direction and fostering an environment of continuous improvement. You’ll have hands-on experience building with AI and LLMs in production, and should be able to: - Define evaluation frameworks. - Reason about failure modes. - Make strategic calls about where AI creates genuine value in our products. Qualifications - 10+ years in software engineering with experience in MVC frameworks. - Proven experience delivering features and solutions that have a direct impact on revenue growth, savings, or operational efficiencies. - Ability to tackle complex technical problems with creativity and efficiency. - Excellent verbal and written communication across technical and non-technical team members and stakeholders. - Proficiency with coding assistant LLMs such as Cursor or Claude Code. - Experience in integrating LLMs into products for data extraction and summarization is a strong plus. Requirements - Set technical direction across product areas, balancing near-term shipping with long-term scalability. - Identify the highest-leverage problems and drive initiatives from ambiguous problem statements through to production. - Establish patterns, improve tooling, fix systemic quality issues, and use code reviews to level up other engineers. - Partner with product and design as a technical thought partner. Benefits - Remote-first by design, with regular in-person gatherings and hub spaces in NYC, Santa Barbara, and London. - Twice yearly team offsites for in-person collaboration. - Paid flexible time off policy. - Paid parental leave and benefits. - Employer-supported retirement contributions, varying by country. - Monthly phone and internet reimbursement. - Pick Your Perk stipend for well-being, gym memberships, home office setup, student loans, pet care, and more. - Company-sponsored LinkedIn Learning accounts and robust onboarding program. - Various options for medical, dental, and vision insurance.

Location: EMEA (CET) We are looking for a Senior AI Enablement & Implementation Manager to deliver AI-enabled workflows across internal teams. This role focuses on translating business needs into structured AI use cases, coordinating cross-functional implementation, and ensuring adoption through documentation, training, and governance. You will own the lifecycle of AI initiatives, maintain a centralized AI knowledge base, and ensure solutions are reliable, reusable, and easy to use for both technical and non-technical teams. WHAT YOU'LL DO: - Translate real business problems into clear AI requirements, prompts, and workflows. - Design context and evaluation frameworks so AI outputs are reliable, measurable, and reusable. - Lead AI-enabled projects involving summarization, generation, classification, or decision support. - Own the AI Knowledge Base and Use Case Repository, keeping documentation fresh and preventing duplicate work. - Deliver tailored AI trainings, workshops, and practical sessions for both technical and non-technical teams. - Facilitate hands-on experimentation focused on real operational needs. - Scout new AI tools and models, run quick POCs, and assess their value before wider adoption. - Build adoption roadmaps, track usage metrics, gather feedback, and iterate on workflows. - Support AI Champions, moderate internal AI communication channels, and contribute to a strong AI culture. - 5+ years managing cross-functional projects in digital advertising, marketing tech, or software. - Analytical mindset with the ability to identify system issues and unblock teams. - Proven experience leading AI, automation, or other innovation-focused initiatives within an organization. - Strong facilitation and communication skills — able to tailor discussions for both technical and non-technical audiences. - Familiarity with large language models, creative AI tools, and API-based workflows. - Clear, thoughtful communicator — you write documentation and instructions people actually use and understand. - Engineering background (preferably backend). - Located in the EMEA region, working CET hours. NICE TO HAVE: - Hands-on experience with prompt engineering, Python, or SQL. - Certifications in project management methodologies. - Experience in AdTech, MarTech or Client support area. WHAT WE OFFER: - USD compensation that values your expertise.‍ - Work from anywhere: Fully remote to suit your lifestyle.‍ - 31 days of paid time off: 21 days of annual leave + 10 days of sick leave, because your health and work-life balance matter.‍ - Growth-focused environment: Access to learning resources and clear pathways for growth.‍ - Fun team events: Virtual cooking classes, yoga sessions, team quizzes and more - ‍A culture of trust: We cut the red tape — results over rules always. Open talk, ownership, and getting things done together.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are currently looking to hire an AI Engineer Report automation / AI questionnaire to work with us remotely. What you will be doing: - Designs, develops, and deploys end-to-end artificial intelligence systems with a focus on generative AI, large language models, and computer vision. - Owns the full AI lifecycle independently—from data preparation and model development to packaging, serving, scaling, and monitoring models in production. - Builds scalable AI solutions such as chatbots, copilots, predictive systems, intelligent automation, and vision-based applications, leveraging Snowflake as part of the data and analytics environment. Your duties will also involve: - Artificial Intelligence, Machine Learning, and Deep Learning - Generative AI and Large Language Models (LLMs) - Prompt engineering, fine-tuning, and model evaluation - Computer Vision (image classification, object detection, OCR) - NLP, neural networks, and predictive modeling - Python and AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex) - Packaging, serving, and scaling models using APIs, microservices, and batch or real-time inference architectures - Retrieval-Augmented Generation (RAG) - Snowflake (data modeling, analytics, and AI integrations) - Model deployment, monitoring, and optimization (MLOps) - Cloud platforms and AI APIs - Ability to work independently and take full ownership of AI solutions end to end Qualifications - The ideal experience range for this role is 2 to 3 years. - Strong hands-on experience in AI, Machine Learning, and Deep Learning in production use cases. - Practical experience working with Generative AI and Large Language Models (LLMs). - Experience in prompt engineering, fine-tuning, and evaluating LLM-based solutions. - Solid background in Computer Vision (image classification, object detection, OCR). - Experience with NLP, neural networks, and predictive modeling. - Strong programming skills in Python and experience with frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, or LlamaIndex. - Experience building AI applications such as chatbots, copilots, automation tools, or vision-based systems. - Knowledge of Retrieval-Augmented Generation (RAG) architectures. - Experience packaging and serving models using APIs, microservices, and real-time or batch inference. - Experience working with data platforms such as Snowflake. - Understanding of model deployment, monitoring, and optimization (MLOps). - Familiarity with cloud platforms and AI service APIs. - Ability to work independently and own AI solutions end to end, from data preparation to production deployment.