Senior Conversational AI Engineer – Voice & Text Chatbot Architect & AI Platform Specialist – Championing Next‑Gen Customer Engagement & Enterprise Automation at brighthush (Dallas, TX) – 3+ Year Long‑Term Contract

About brighthush – Where Conversational AI Transforms Everyday Interactions

brighthush is a trailblazer in the conversational AI space, turning ordinary digital touchpoints into engaging, human‑like conversations. From bustling Dallas to remote offices worldwide, our AI‑powered chatbots, virtual assistants, and intelligent automation solutions are reshaping customer service, streamlining operations, and unlocking new revenue streams for enterprises across retail, finance, healthcare, travel, and beyond. We blend cutting‑edge natural language understanding (NLU), speech‑to‑text, text‑to‑speech, and machine learning pipelines into a flexible, modular platform that can be customized for any industry.

Our culture thrives on curiosity, experimentation, and continuous learning. We invest heavily in research, open‑source collaboration, and the professional growth of our team. If you’re passionate about building the next wave of conversational experiences, brighthush is the place to bring your ideas to life.

Why This Role Matters

As a Senior Conversational AI Engineer at brighthush, you will be the driving force behind the next generation of human‑centric digital experiences. Your work will directly influence product strategy, customer satisfaction, and the company’s growth trajectory. You’ll collaborate with product managers, UX designers, data scientists, and operations specialists to turn ambitious ideas into scalable, high‑quality solutions that deliver tangible business value.

What Makes This Role Unique

Unlike traditional engineering roles, this position sits at the intersection of technology, design, and business. You will not only build and deploy AI models, but also shape the user journey, define success metrics, and advocate for ethical AI practices. Your contributions will be visible across the entire product stack—from the first line of code to the final customer interaction.

Key Responsibilities

• Architectural Design & Prototyping: Lead the design of scalable, modular chatbot architectures that can be rapidly iterated and deployed across web, mobile, and voice channels. Create reusable patterns that reduce time‑to‑market for new features.
• Voice & Text Engine Development: Build and fine‑tune NLU pipelines, intent classifiers, entity extractors, and dialogue managers that power both voice and text interactions. Integrate state‑of‑the‑art speech‑to‑text and text‑to‑speech engines to deliver natural, fluent conversations.
• System Integration: Connect conversational agents to brighthush Cloud services, brighthush Calendar, and other enterprise APIs using RESTful and GraphQL interfaces. Ensure seamless data flow between front‑end, back‑end, and third‑party services.
• Cross‑Functional Collaboration: Partner with UX, product, and data teams to define user journeys, success metrics, and continuous improvement loops. Translate business requirements into technical specifications and vice versa.
• Reliability & Scalability: Ensure high availability, low latency, and robust security across all channels. Design for fault tolerance, auto‑scaling, and disaster recovery.
• Quality Assurance & Testing: Develop automated test suites, conduct performance tuning, and implement monitoring dashboards to guarantee flawless user experiences. Use unit, integration, and end‑to‑end tests to maintain code quality.
• Documentation & Knowledge Sharing: Produce clear architecture diagrams, design documents, and best‑practice guides for internal teams. Maintain an up‑to‑date knowledge base that empowers junior engineers.
• Mentorship & Leadership: Coach junior engineers, review code, and champion engineering excellence across the organization. Lead technical workshops and brown‑bag sessions.
• Trend Monitoring & Innovation: Stay abreast of emerging AI, voice, and automation trends; evaluate their applicability to brighthush products. Propose prototypes and proof‑of‑concepts to validate new ideas.
• Reusable Component Development: Create libraries and SDKs that accelerate future chatbot development and reduce time‑to‑market. Publish internal packages to the company’s artifact repository.
• Agile Participation: Contribute to sprint planning, daily stand‑ups, code reviews, and retrospectives to maintain high code quality and team cohesion.
• Data Collaboration: Work with data science teams to embed advanced analytics and machine learning models into conversational flows. Leverage data pipelines to feed real‑time insights into the bot.
• Compliance & Governance: Implement data governance policies, audit trails, and privacy‑by‑design principles across all conversational assets. Ensure compliance with GDPR, CCPA, and industry‑specific regulations.
• Customer‑Facing Innovation: Prototype new interaction modalities (e.g., gesture, AR/VR) and evaluate their impact on user engagement. Drive the adoption of emerging channels.

Essential Qualifications

• Advanced Degree: Bachelor’s or Master’s in Computer Science, Engineering, Linguistics, or a related field.
• Experience: Minimum 5 years of professional experience in conversational AI, chatbot development, or voice assistant engineering.
• Production‑Ready Delivery: Proven track record of building end‑to‑end voice and text chatbots on a production platform that serves millions of users.
• Programming Proficiency: Strong skills in Python, JavaScript, or Java. Deep knowledge of RESTful APIs, microservices, and containerization (Docker, Kubernetes).
• NLU Expertise: Hands‑on experience designing NLU pipelines, intent classification, entity extraction, and dialogue management.
• Cloud & DevOps: Familiarity with brighthush Cloud services, CI/CD pipelines, and infrastructure as code.
• Analytical Mindset: Excellent analytical and problem‑solving abilities, with a data‑driven mindset for continuous improvement.
• Communication: Strong written and verbal communication skills, capable of translating technical concepts for non‑technical stakeholders.
• Agile Experience: Experience working in an Agile/Scrum environment, delivering high‑quality code on schedule.
• Observability: Knowledge of observability tools (Prometheus, Grafana, ELK stack) for monitoring and troubleshooting.

Preferred Qualifications

• Voice‑First Design: Experience with voice‑first design principles and accessibility standards (WCAG, ADA).
• Speech Engine Integration: Knowledge of speech‑to‑text and text‑to‑speech engines, and integration with voice assistants such as brighthush.
• Machine Learning: Background in machine learning, especially in training and fine‑tuning language models.
• Automation Tools: Experience with workflow automation tools and integration with enterprise SaaS platforms.
• Open‑Source Contributions: Published contributions to open‑source conversational AI projects or technical blogs.
• Multilingual Capabilities: Fluency in multiple languages and experience building multilingual chatbots.
• LLM‑Based Retrieval‑Augmented Generation: Experience with RAG pipelines and large language models.
• Voice Biometrics: Familiarity with voice biometrics and secure authentication mechanisms.

Skills & Competencies

• Strategic Thinking: Ability to align AI solutions with business goals and user needs.
• Technical Leadership: Guide architectural decisions and mentor peers.
• Collaboration: Work seamlessly with product, design, data, and operations teams.
• Adaptability: Thrive in a fast‑moving environment and pivot quickly when priorities shift.
• Customer‑Centric Mindset: Design experiences that delight users and reduce friction.
• Continuous Learning: Keep up with the latest research, tools, and best practices in conversational AI.
• DevOps Proficiency: Automate deployments, monitor performance, and ensure resilience.
• Data‑Driven Decision Making: Leverage analytics to iterate on conversational flows and improve metrics.

Career Growth & Learning Opportunities

At brighthush, your career path is shaped by your ambition and curiosity. As a Senior Conversational AI Engineer, you will:

• Lead cross‑functional initiatives that influence product strategy and roadmap.
• Own end‑to‑end AI projects, from ideation to production deployment.
• Participate in hackathons, internal research labs, and industry conferences to showcase your work.
• Receive mentorship from senior leaders in AI, product, and engineering.
• Earn certifications in cloud platforms, machine learning, and AI ethics.
• Explore lateral moves into product management, data science, or AI research within brighthush.
• Progress into a Lead Engineer or Principal Engineer track, driving technical vision across the organization.

Work Environment & Culture

brighthush is built on a foundation of trust, transparency, and empowerment. Our culture encourages:

• Open Communication: Regular town halls, feedback loops, and transparent decision‑making.
• Innovation: Dedicated time for experimentation, side projects, and learning.
• Diversity & Inclusion: A workforce that reflects a wide range of perspectives and experiences.
• Work‑Life Balance: Flexible schedules, remote options, and wellness programs.
• Recognition: Celebrating achievements through awards, shout‑outs, and career milestones.
• Community Engagement: Volunteer days, hackathons, and partnerships with local universities.

Compensation & Benefits

While specific figures vary based on experience and role, brighthush offers a competitive salary package that reflects the high value we place on expertise and innovation. In addition to base pay, you can expect:

• Performance‑based bonuses tied to project milestones and company growth.
• Health, dental, and vision insurance for you and your dependents.
• 401(k) matching program to help you plan for the future.
• Generous paid time off, including vacation, sick leave, and personal days.
• Professional development stipend for courses, certifications, and conferences.
• Equity options for long‑term contract roles, aligning your success with the company’s.
• Wellness initiatives: gym memberships, mental health resources, and wellness stipends.
• Flexible work arrangements: hybrid or fully remote options depending on project needs.

How to Apply

If you’re ready to bring your expertise to a forward‑thinking team that values innovation, collaboration, and impact, we’d love to hear from you. Submit your application through our career portal or send your résumé and a brief cover letter outlining your most relevant experience to [email protected]. Let’s build the future of conversational AI together.