• Run customer discovery, workflow shadowing, and field notes with operators and decision owners, until you can name the users, states, evidence sources, exceptions, and the real operating constraint • Implement thin product slices in a live codebase across frontend, backend, data, and integrations, where the happy path works, unsafe paths fail, and the behavior survives realistic data • Write tests, run realistic paths, inspect logs, and document what is proven, missing, or uncertain, so every customer demo is backed by evidence, not optimism • Explain tradeoffs, risks, and next steps to non-technical customers without overclaiming • Identify reusable patterns from field work and feed them into product and engineering, so the next customer gets faster onboarding, safer workflows, or more reusable product • Carry ambiguous work end to end: discovery, build, demo, rollout, and follow-up

Role Description We are seeking an experienced PeopleSoft Integration Broker Developer to design, build, and operate enterprise integrations connecting PeopleSoft applications to internal systems, cloud applications, and third-party platforms. This role focuses specifically on the integration layer, including: - Service operations - Queues - Routings - Transformations - Security configurations - Error handling The ideal candidate will combine deep hands-on Integration Broker experience with broader PeopleTools knowledge and a strong understanding of API and integration design patterns. In this role, you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions. You will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of PeopleSoft development experience, with a strong focus on Integration Broker. - Hands-on experience designing and developing REST and SOAP web services in PeopleSoft. - Solid PeopleCode and Application Engine experience. - Working knowledge of XML, XSLT, and JSON. - Experience with web service security standards (WS-Security, OAuth2). - Strong SQL skills and experience with the PeopleSoft data model. - Familiarity with middleware platforms (OIC, MuleSoft, Boomi) is a strong plus. - Excellent troubleshooting, communication, and documentation skills. - Experience supporting PeopleSoft upgrades and patches. Requirements - Design and develop integration scenarios using PeopleSoft Integration Broker, including service operations, queues, routings, and handlers. - Build synchronous and asynchronous integrations using REST and SOAP web services. - Develop transformations using XSLT, Application Engine, and PeopleCode handlers. - Configure security on inbound and outbound services, including WS-Security, OAuth2, and certificate-based authentication. - Build robust error-handling and retry mechanisms, including notifications, monitoring, and resubmission workflows. - Develop Component Interfaces and File Layouts to support hybrid integration scenarios. - Lead migration efforts to retire legacy point-to-point integrations to standardized Integration Broker patterns. - Optimize performance of high-volume integrations through queue tuning, parallel processing, and asynchronous design. - Integrate PeopleSoft with cloud applications (Oracle Cloud, Workday, ServiceNow) and middleware (OIC, MuleSoft, Boomi). - Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures. - Provide hypercare and post-go-live support, including incident response and root-cause analysis. - Collaborate closely with functional consultants and integration architects. - Mentor and coach junior and mid-level engineers through code review, design review, pair programming, and structured knowledge sharing. Benefits - 100% Remote work opportunity. - Full-time, Direct W2 position. - Salary Range: $100,000–$150,000 Annually. - Career growth potential within an established organization. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 650-6699. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws.

Role Description The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to: - Payments - Analytics - Subscriptions - New products - Text to speech - External APIs This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. Qualifications - Proven experience in backend development: TS/Node (required) - Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers - Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact - Preferred: Experience with Docker and containerized deployments - Preferred: Proficiency in deploying high availability applications on Kubernetes Requirements - Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements - Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability - Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients - Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience Benefits - A dynamic environment where your contributions shape the company and its products - A team that values innovation, intuition, and drive - Autonomy, fostering focus and creativity - The opportunity to have a significant impact in a revolutionary industry - Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture - The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more - An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Role Description We are looking for a Reinforcement Learning Engineer to design, train, and deploy RL-based systems for high-impact decision-making problems where supervised learning alone is insufficient. The role requires deep familiarity with modern reinforcement learning algorithms, simulation environments, reward modeling, and the engineering complexity of training and evaluating policies at scale. The ideal candidate has both research depth and engineering pragmatism, with experience taking RL solutions out of the lab and into production where stability, safety, and ongoing improvement are critical. Key Responsibilities - Design and implement reinforcement learning solutions for sequential decision-making problems in real and simulated environments. - Develop, calibrate, and maintain simulation environments suitable for large-scale agent training. - Implement and evaluate modern RL algorithms including policy gradient, actor-critic, off-policy, and offline RL methods. - Engineer reward functions and shaping strategies that align agent behavior with desired outcomes and safety constraints. - Apply offline RL and imitation learning techniques where exploration is costly or unsafe. - Use RLHF, DPO, and related techniques for fine-tuning large language models when relevant. - Build scalable training infrastructure for distributed RL, including efficient experience collection and replay systems. - Optimize training stability and sample efficiency through algorithmic and engineering improvements. - Design rigorous evaluation protocols, including out-of-distribution and adversarial test cases. - Implement safety mechanisms such as constraint enforcement, conservative policies, and human-in-the-loop oversight. - Collaborate with applied scientists and product teams to identify high-value RL use cases. - Monitor deployed policies and models in production for drift, regression, and unintended behaviors, building the alerting and dashboards that surface issues before they meaningfully affect users. - Document methodology, design decisions, and operational characteristics for internal stakeholders. - Stay current with RL research and translate promising techniques into production-ready solutions. Qualifications - Master’s or PhD in Computer Science, Machine Learning, or a related field; or equivalent applied experience. - Six or more years of combined RL research and engineering experience. - Strong proficiency in Python and modern deep learning frameworks. - Hands-on experience with at least one major RL library or in-house RL stack. - Solid understanding of probability, optimization, and the theoretical foundations of RL. - Experience designing and tuning reward functions in non-trivial environments. - Familiarity with simulation environments and large-scale experience collection. - Experience training neural network policies on GPU clusters. - Strong written and verbal communication skills. - Track record of shipping or publishing impactful RL work. Preferred Qualifications - Experience with RLHF for large language models. - Familiarity with multi-agent RL or hierarchical RL. - Exposure to robotics, control systems, or autonomous driving. - Publications in RL or related research venues. - Open-source contributions to RL libraries or environments. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com . Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.