Senior AI Chatbot & Agent Systems Technical Lead – Architect, Innovator, and Engineering Visionary at brighthush

About brighthush

brighthush is at the forefront of the conversational AI revolution. We’re not just building chatbots – we’re crafting intelligent assistants that anticipate user needs, orchestrate complex workflows, and deliver measurable business value across industries. By marrying large language models (LLMs) with sophisticated agent‑based architectures, we create systems that feel natural, reliable, and transformative. Our mission is simple yet ambitious: to make every interaction with technology feel like a conversation with a trusted partner. If you thrive in a fast‑moving, research‑driven environment and want to shape the future of AI, brighthush is the place for you.

Why This Role Matters

As the Senior AI Chatbot & Agent Systems Technical Lead, you will be the driving force behind our flagship conversational platform. Your vision will guide the architecture, your leadership will shape the engineering culture, and your collaboration will turn bold product ideas into scalable, high‑quality AI solutions. The impact of your work will reach millions of users worldwide, ensuring every interaction is seamless, contextually aware, and cost‑effective. This is a rare opportunity to lead a high‑impact product from the ground up while influencing the strategic direction of a company that is redefining how people interact with technology.

Key Responsibilities

• Architectural Leadership – Design and evolve LLM‑powered chatbot architectures, including agent‑based workflows, tool integrations, and memory strategies. Ensure systems are scalable, maintainable, and aligned with best engineering practices.
• Technical Direction – Define the overall technical roadmap, set coding standards, and champion the adoption of cutting‑edge frameworks such as LangChain and LangGraph.
• Delivery Ownership – Translate product requirements into actionable engineering plans, break down complex initiatives, prioritize tasks, and coordinate cross‑functional teams to meet deadlines.
• Mentorship & Culture Building – Coach junior engineers, facilitate knowledge sharing, and foster a high‑performing, collaborative engineering culture that values experimentation and continuous improvement.
• Stakeholder Collaboration – Work hand‑in‑hand with product managers, designers, and business leaders to translate ambiguous business needs into concrete technical solutions, influencing roadmap decisions and feature prioritization.
• Innovation & Experimentation – Lead research into new agent orchestration techniques, prompt engineering strategies, and AI system optimizations. Validate prototypes, measure impact, and iterate rapidly.
• Quality & Reliability – Implement robust evaluation frameworks, guardrails, and cost‑performance optimizations to ensure the chatbot delivers consistent, trustworthy results.

Essential Qualifications

• 5+ years of experience building LLM‑powered applications, with a deep understanding of agent‑based workflows, prompt engineering, Retrieval‑Augmented Generation (RAG), embeddings, and tool/function calling.
• Proficiency with modern AI frameworks, especially LangChain and, ideally, LangGraph.
• Strong background in software engineering, having served as a Tech Lead or Senior Engineer. Proven ability to design scalable APIs, backend architectures, and distributed systems from scratch.
• Demonstrated leadership skills: mentoring engineers, guiding technical decisions, and structuring work in ambiguous, fast‑changing environments.
• Track record of owning end‑to‑end delivery of complex initiatives—breaking down problems, prioritizing effectively, and ensuring consistent execution.
• Product‑oriented mindset: ability to spot gaps, propose structured solutions, and make informed decisions even with incomplete data.
• Excellent communication skills—capable of explaining intricate AI concepts to non‑technical stakeholders and aligning technical choices with business goals.

Preferred Qualifications

• Experience with AI‑assisted development tools such as Cursor, Claude Code, or Copilot, and a passion for leveraging these tools to boost productivity.
• Familiarity with advanced AI topics: evaluation frameworks, guardrails, cost‑performance optimization, latency reduction, and long‑term memory strategies.
• Background in deploying AI systems at scale in production environments, with a focus on monitoring, observability, and continuous improvement.
• Knowledge of cloud platforms (AWS, GCP, Azure) and experience with containerization, CI/CD pipelines, and infrastructure as code.

Skills & Competencies

• Technical Expertise – Deep knowledge of LLMs, transformer architectures, and the latest research in conversational AI.
• System Design – Ability to architect complex, distributed systems that balance performance, reliability, and cost.
• Leadership & Mentorship – Proven ability to inspire, coach, and grow engineering talent.
• Strategic Thinking – Translate business objectives into technical roadmaps and measurable outcomes.
• Problem Solving – Tackle ambiguous problems, iterate quickly, and deliver robust solutions.
• Communication – Articulate technical concepts to diverse audiences and build consensus across teams.

Career Growth & Learning Opportunities

At brighthush, your growth is a priority. You’ll have access to a wealth of resources that will help you evolve into a world‑class AI leader.

• Mentorship from senior leaders in AI and engineering.
• Regular hackathons, research sprints, and innovation challenges that keep you at the forefront of AI technology.
• Conferences, workshops, and courses—fully reimbursed—to deepen your expertise.
• Clear promotion paths: from Tech Lead to Principal Engineer, Engineering Manager, or even VP of Engineering.
• Cross‑functional projects that broaden your skill set beyond engineering into product strategy and business development.

Work Environment & Culture

brighthush is a remote‑first company that values flexibility, autonomy, and results. Our culture is built on:

• Transparency – Open communication channels, regular all‑hands meetings, and a culture of feedback.
• Collaboration – Cross‑functional teams that work together to solve real‑world problems.
• Innovation – A safe space to experiment, fail fast, and iterate.
• Diversity & Inclusion – A workforce that reflects a wide range of perspectives and experiences.
• Work‑life balance, with generous paid time off, flexible schedules, and a focus on mental well‑being.

Compensation & Perks

While specific numbers vary by experience, we offer a competitive salary package that includes:

• Base salary commensurate with market rates for senior AI engineering roles.
• Performance‑based bonuses tied to product milestones and team success.
• Equity options that allow you to share in brighthush’s growth.
• Comprehensive health, dental, and vision insurance.
• Unlimited PTO and a generous parental leave policy.
• Home office stipend, tech allowance, and access to a global network of co‑working spaces.
• Wellness programs, including virtual fitness classes and mental health resources.

How to Apply

Ready to lead the next generation of AI chatbots? Send your resume, a brief cover letter outlining why you’re the perfect fit, and any relevant portfolio or GitHub links to [email protected]. We’re excited to hear how you can help us build the future of conversational AI.

Join brighthush Today

At brighthush, we’re not just building products—we’re shaping the way people interact with technology. If you’re a visionary engineer who loves to lead, innovate, and make a tangible impact, we want to hear from you. Apply now and become a key player in our mission to create intelligent, human‑like conversations that empower users worldwide.