About brighthush and the Future of Conversational AI

brighthush stands at the forefront of the customer experience revolution, blending cutting‑edge artificial intelligence with human‑centric design to create interactions that feel genuinely personal and effortlessly intuitive. Our global footprint spans Fortune 500 enterprises, dynamic mid‑market innovators, and ambitious startups, all of whom rely on brighthush to transform routine customer touchpoints into memorable brand moments.

In an era where every brand is vying for attention, conversational AI has become the linchpin of modern engagement. At brighthush, we don’t just build chatbots; we engineer ecosystems that learn, adapt, and anticipate user needs in real time. By marrying large language models (LLMs) with sophisticated intent recognition, entity extraction, and real‑time analytics, we empower businesses to deliver seamless, omni‑channel experiences that drive loyalty, reduce churn, and unlock new revenue streams.

As a Senior Conversational AI & Generative Language Model Engineer, you will be a pivotal force in shaping the next generation of AI‑powered customer service. Your expertise will directly influence how millions of users worldwide experience brand interactions, ensuring that every conversation feels natural, contextually relevant, and delightfully engaging.

Key Responsibilities

In this role, you will be a central contributor to the design, development, and deployment of advanced chatbot solutions across multiple platforms. Your day‑to‑day tasks will include:

• Design & Build Conversational Flows: Craft sophisticated dialogue trees, intent models, and entity extraction pipelines using brighthush’s proprietary frameworks and industry‑leading tools.
• Integrate LLM‑Based Features: Leverage GPT‑style models to generate dynamic responses, summarize user intent, and provide context‑aware suggestions that elevate the conversational experience.
• Develop Real‑Time JavaScript & Python Services: Write clean, maintainable code for serverless functions, webhooks, and micro‑services that power the chatbot’s backend, ensuring low latency and high throughput.
• Unit & Integration Testing: Create comprehensive test suites, perform code reviews, and ensure defect‑free releases through rigorous QA cycles.
• Deploy & Monitor Production Environments: Manage CI/CD pipelines, monitor performance metrics, and troubleshoot incidents in live deployments to guarantee uptime and reliability.
• Collaborate with Cross‑Functional Teams: Work closely with product managers, UX designers, data scientists, and contact center operations to align technical solutions with business goals.
• Mentor Junior Engineers: Provide guidance, conduct knowledge‑sharing sessions, and foster a culture of continuous learning within the engineering team.
• Pitch & Demo Solutions: Build compelling customer‑facing demos, value propositions, and proof‑of‑concepts that showcase the power of brighthush’s AI platform to stakeholders and prospects.

Essential Qualifications

• 10+ years of experience in software engineering, with a strong focus on natural language processing, conversational AI, or related fields.
• Proven track record of designing and deploying production‑grade LLM‑driven chatbots or virtual assistants at scale.
• Deep expertise in Python, JavaScript/TypeScript, and modern web frameworks (Node.js, Flask, FastAPI).
• Hands‑on experience with LLMs such as GPT‑4, Claude, or equivalent, including fine‑tuning, prompt engineering, and deployment strategies.
• Strong understanding of intent classification, entity extraction, slot filling, and dialogue management.
• Experience with cloud platforms (AWS, Azure, GCP) and serverless architectures (Lambda, Cloud Functions, Azure Functions).
• Proficiency in CI/CD tooling (GitHub Actions, GitLab CI, Jenkins) and containerization (Docker, Kubernetes).
• Excellent problem‑solving skills, with the ability to debug complex, distributed systems under tight deadlines.
• Strong communication skills, capable of translating technical concepts to non‑technical stakeholders.

Preferred Qualifications

• Background in linguistics, computational linguistics, or a related field.
• Experience with multi‑lingual NLP pipelines and cross‑lingual transfer learning.
• Knowledge of real‑time analytics platforms (Kafka, Flink, Spark) and streaming data pipelines.
• Familiarity with conversational AI platforms such as Rasa, Dialogflow, or Botpress.
• Published research or contributions to open‑source NLP projects.
• Experience leading engineering teams or managing large, cross‑functional projects.

Skills & Competencies

• Technical Mastery: Advanced proficiency in Python, JavaScript/TypeScript, and cloud-native development.
• AI & NLP Expertise: Deep understanding of transformer architectures, prompt engineering, and LLM deployment.
• System Design: Ability to architect scalable, fault‑tolerant systems that handle millions of concurrent conversations.
• Data‑Driven Decision Making: Experience with A/B testing, metrics definition, and performance tuning.
• Collaboration & Leadership: Proven ability to mentor peers, influence product direction, and drive cross‑functional initiatives.
• Adaptability: Comfortable working in a fast‑paced, evolving environment with shifting priorities.

Career Growth & Learning Opportunities

At brighthush, your professional journey is as dynamic as the technology you build. We offer:

• Structured mentorship programs pairing you with senior leaders in AI and product strategy.
• Access to cutting‑edge research labs, conferences, and workshops in NLP and AI.
• Internal hackathons and innovation sprints that encourage experimentation and rapid prototyping.
• Clear career ladders with opportunities to transition into technical leadership, product ownership, or AI research roles.
• Regular knowledge‑sharing sessions, brown‑bag talks, and cross‑team collaborations to broaden your skill set.

Work Environment & Company Culture

brighthush thrives on a culture of curiosity, collaboration, and impact. Our remote‑first model empowers you to work from anywhere while staying connected through:

• Weekly all‑hands meetings that keep the entire organization aligned.
• Dedicated Slack channels for real‑time collaboration across engineering, product, and design.
• Quarterly virtual retreats that blend learning, networking, and team‑building activities.
• Inclusive hiring practices that celebrate diverse perspectives and experiences.
• Transparent communication channels that encourage feedback and continuous improvement.

Compensation, Perks & Benefits

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

• Market‑competitive base salary and performance‑based bonuses.
• Equity options that align your success with the company’s growth.
• Comprehensive health, dental, and vision insurance plans.
• Generous paid time off, parental leave, and flexible work arrangements.
• Unlimited learning stipend for courses, certifications, and conferences.
• Wellness programs, including virtual fitness classes and mental health resources.
• Annual stipend for home office setup and technology upgrades.

Why Join brighthush?

When you join brighthush, you become part of a mission‑driven team that is redefining how businesses connect with their customers. You’ll work on high‑impact projects that shape the future of conversational AI, collaborate with world‑class engineers and data scientists, and have the freedom to innovate without bureaucratic constraints.

We value curiosity, resilience, and a passion for building products that make a difference. If you’re ready to push the boundaries of AI, lead transformative initiatives, and grow alongside a dynamic, forward‑thinking organization, we want to hear from you.

Ready to take the next step in your career? Apply now and help us create the next generation of intelligent, human‑centric customer experiences.