Senior AI Chatbot Engineer – Conversational AI, LLM Integration, UX & Software Development at brighthush

Welcome to brighthush – Where Innovation Meets Impact

At brighthush, we’re redefining the way businesses connect with their customers. Our mission is to empower organizations worldwide with intelligent, human‑like conversational experiences that drive engagement, streamline operations, and unlock new revenue streams. By harnessing the power of large language models (LLMs), natural language processing (NLP), and cutting‑edge UX design, we create virtual assistants that feel like real people, yet deliver the efficiency and scalability of software.

As a rapidly growing player in the AI and customer experience space, brighthush is committed to fostering a culture of curiosity, collaboration, and continuous learning. Our teams thrive on experimentation, data‑driven decision making, and a shared passion for solving complex problems with elegant, user‑centric solutions.

Role Overview: AI Chatbot Engineer

We’re looking for a highly motivated AI Chatbot Engineer to join our dynamic product engineering squad. In this role, you will be the bridge between AI research, user experience design, and robust software engineering. You will design, build, and iterate on conversational agents that power our flagship products, ensuring they are context‑aware, scalable, and delight users across multiple channels.

Key responsibilities include:

Key Responsibilities

• Design & Deploy Conversational Agents: Build end‑to‑end chatbot solutions using state‑of‑the‑art LLMs (e.g., GPT‑4, Claude, Llama) and rule‑based frameworks (e.g., Rasa, Dialogflow, Botpress). Translate business requirements into robust, modular architectures.
• Conversation Flow Engineering: Craft intuitive dialogue trees, intent recognition pipelines, and slot‑filling logic. Continuously refine flows based on user feedback and analytics.
• Prompt & Context Management: Apply advanced prompt engineering techniques to maximize LLM performance. Implement context‑aware memory systems that preserve conversation state across sessions.
• API & Service Integration: Seamlessly connect chatbots to internal APIs, third‑party services (CRM, ticketing, payment gateways), and messaging platforms (Slack, WhatsApp, web chat).
• Performance Monitoring & Optimization: Deploy monitoring dashboards, log aggregation, and A/B testing frameworks. Use metrics such as response latency, intent accuracy, and user satisfaction to drive continuous improvement.
• UX Collaboration: Partner with UX/UI designers to create engaging chat interfaces, micro‑interactions, and accessibility features that enhance the overall user journey.
• Research & Innovation: Stay abreast of the latest developments in LLMs, reinforcement learning, and conversational AI. Prototype new features and evaluate emerging tools for potential adoption.
• Documentation & Knowledge Sharing: Produce clear technical documentation, best‑practice guides, and internal knowledge bases. Mentor junior engineers and contribute to our open‑source community.

Essential Qualifications

• Academic Background: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
• Professional Experience: Minimum of 2 years of hands‑on experience building conversational AI solutions, preferably in a production environment.
• Programming Proficiency: Advanced skills in Python or Node.js, with a strong grasp of asynchronous programming, data pipelines, and micro‑service architecture.
• Framework Expertise: Deep familiarity with at least one chatbot framework (LangChain, Rasa, Botpress, or equivalent). Experience with LLM integration via OpenAI, Anthropic, or other providers.
• Prompt Engineering: Proven ability to craft effective prompts, manage context windows, and fine‑tune LLMs for domain‑specific tasks.
• Messaging Platform Integration: Hands‑on experience connecting chatbots to Slack, WhatsApp Business API, Microsoft Teams, or web chat widgets.
• Analytics & Monitoring: Comfortable using tools like Grafana, Prometheus, ELK stack, or similar for performance tracking and debugging.
• Collaboration & Communication: Strong written and verbal communication skills. Ability to translate complex technical concepts into actionable insights for cross‑functional teams.

Preferred Qualifications

• UX‑Focused Design Thinking: Understanding of user behavior, conversational UI patterns, and accessibility standards.
• Multilingual NLP: Experience building or fine‑tuning models for multiple languages, and handling language‑specific nuances.
• Voice Assistant Development: Familiarity with Alexa Skills, Google Assistant Actions, or similar voice‑first platforms.
• Logging & Observability: Expertise in structured logging, distributed tracing, and real‑time analytics dashboards.
• Open‑Source Contribution: Active participation in open‑source projects related to conversational AI or NLP.
• Advanced Machine Learning: Knowledge of reinforcement learning, few‑shot learning, or meta‑learning techniques applied to dialogue systems.

Skills & Competencies

• Strategic thinking and problem‑solving in ambiguous environments.
• Strong analytical mindset with a data‑driven approach to product iteration.
• Proficiency in version control (Git), CI/CD pipelines, and cloud platforms (AWS, GCP, Azure).
• Experience with containerization (Docker, Kubernetes) and serverless architectures.
• Excellent teamwork and mentorship abilities.
• Adaptability to fast‑paced, evolving product requirements.

Career Growth & Learning Opportunities

At brighthush, your career trajectory is as dynamic as the technology we build. We offer:

• Technical Leadership Path: Opportunities to lead AI research initiatives, mentor junior engineers, and shape the product roadmap.
• Cross‑Functional Projects: Work with product managers, data scientists, and designers to deliver end‑to‑end solutions.
• Continuous Learning: Access to industry conferences, workshops, and a generous budget for courses, certifications, and books.
• Innovation Sandbox: Dedicated time each week to experiment with new models, frameworks, or research papers.
• Global Collaboration: Collaborate with teams across multiple time zones, gaining exposure to diverse markets and user needs.

Work Environment & Company Culture

brighthush thrives on a culture that values:

• Transparency: Open communication channels, regular all‑hands meetings, and a flat hierarchy that encourages idea sharing.
• Inclusivity: A diverse workforce where every voice is heard and respected.
• Work‑Life Balance: Flexible working hours, remote‑first policy, and generous vacation policies.
• Wellness & Wellbeing: On‑site fitness facilities, mental health resources, and wellness stipends.
• Community Impact: Volunteer days, charitable partnerships, and initiatives that give back to local communities.

Compensation & Benefits

While specific figures vary by location and experience, brighthush offers a competitive total rewards package that includes:

• Base salary commensurate with market rates and experience.
• Performance‑based bonuses and equity options.
• Comprehensive health, dental, and vision insurance.
• Retirement savings plan with company match.
• Generous paid time off, parental leave, and sabbatical options.
• Continuous learning stipend and conference travel support.
• Flexible work arrangements and remote‑work allowances.

How to Apply

Ready to shape the future of conversational AI? Submit your resume, portfolio, and a brief cover letter outlining why you’re the perfect fit for brighthush. We’re excited to learn how your expertise can help us build the next generation of intelligent assistants.

Join brighthush – Where Your Ideas Become Reality

At brighthush, we believe that the best solutions come from people who are passionate, curious, and collaborative. If you’re eager to push the boundaries of AI, create meaningful user experiences, and grow alongside a forward‑thinking team, we want to hear from you. Apply today and become a key player in redefining how the world interacts with technology.