Introduction
At brighthush, we’re redefining how people interact with technology by building intelligent, conversational experiences that feel natural, reliable, and truly helpful. Our mission is to empower businesses and individuals with chat and agentic systems that can understand context, execute complex workflows, and learn from every interaction. As the AI landscape evolves, the demand for robust, scalable, and maintainable chat platforms is at an all‑time high. If you’re passionate about crafting elegant solutions that blend cutting‑edge machine learning with solid engineering principles, brighthush offers the perfect stage to make a lasting impact.
Why Join brighthush?
Working at brighthush means you’ll be part of a fast‑moving, high‑growth team that values curiosity, ownership, and continuous learning. We foster a culture of experimentation, where ideas are tested quickly and failures are treated as learning opportunities. Our remote-first environment gives you the flexibility to work from anywhere while staying connected through regular virtual huddles, hackathons, and knowledge‑sharing sessions. You’ll collaborate with product managers, data scientists, and fellow engineers to turn ambitious product visions into production‑ready systems that serve millions of users worldwide.
Key Responsibilities
- Architect and Deliver – Own the end‑to‑end technical design of chat‑team projects, from concept to deployment, ensuring they meet performance, reliability, and security standards.
- Set Technical Direction – Lead the definition of engineering priorities, coding standards, and best practices that align with brighthush’s product roadmap.
- Translate Requirements into Design – Convert product specifications into clean, maintainable system designs that balance simplicity with extensibility.
- Hands‑On Development – Write production‑grade Python code, participate in code reviews, and contribute to automated test suites.
- Design Abstractions – Create reusable, well‑documented abstractions that reduce complexity without over‑engineering.
- Mentor and Coach – Guide junior developers through code reviews, pair programming, and design discussions, fostering a culture of growth and accountability.
- Diagnose and Resolve – Investigate production incidents across application code, agent workflows, prompts, models, data pipelines, and infrastructure.
- Improve System Quality – Continuously enhance reliability, observability, latency, and cost efficiency of our chat systems.
- Champion AI‑Native Practices – Drive initiatives that embed coding agents into the development lifecycle, improving productivity and code quality.
- Educate on Agentic Workflows – Train the team on effective agentic coding practices, ensuring engineers remain accountable for the code produced by agents.
Essential Qualifications
- 4–5 years of professional software engineering experience, preferably in a fast‑paced, product‑driven environment.
- Expertise in Python, with a strong focus on idiomatic, typed, testable, and maintainable production code.
- Deep understanding of API design, data modeling, concurrency, error handling, and observability.
- Proven track record of designing, delivering, and operating production systems at scale.
- Experience writing comprehensive automated tests using frameworks such as pytest.
- Strong programming fundamentals and sound engineering judgment that drive high‑quality solutions.
- Excellent written and verbal communication skills, capable of articulating complex ideas to both technical and non‑technical stakeholders.
- Demonstrated ability to mentor junior developers and elevate the overall quality of the engineering team.
Preferred Qualifications
- Hands‑on experience building LLM or agentic applications, including tool‑calling or multi‑step workflows with frameworks like LangGraph.
- Proficiency in designing conversation state, context management, and execution flows for agentic systems.
- Familiarity with model APIs, structured outputs, retrieval, grounding, and streaming responses.
- Experience with observability platforms such as Langfuse, LangSmith, or similar tools for instrumenting and debugging LLM applications.
- Knowledge of cost‑management strategies for production LLM systems, balancing performance with budget constraints.
- Comfort with rapid prototyping, experimentation, and iterative improvement of AI‑native workflows.
Agentic Coding Expertise
At brighthush, we view coding agents not as simple code generators but as powerful engineering tools that augment human creativity. The ideal candidate will:
- Leverage coding agents across all stages of development—exploration, planning, implementation, testing, debugging, and review.
- Provide agents with clear context, constraints, and verification steps to ensure output quality.
- Critically evaluate agent‑generated code for correctness, security, maintainability, and unnecessary complexity.
- Design workflows that keep engineers accountable for the final code, preventing over‑reliance on automation.
- Identify repeatable team processes that can be enhanced through agents and automation, driving measurable efficiency gains.
- Teach junior developers how to harness coding agents effectively without compromising core engineering fundamentals.
- Lead initiatives that make the team faster, more AI‑native, and more resilient to change.
What Success Looks Like
- Clear, consistent technical decisions that reduce ambiguity and accelerate delivery.
- Projects with simple, well‑defined designs, robust boundaries, and comprehensive test coverage.
- Code reviews that catch meaningful design and correctness issues early in the development cycle.
- Junior developers who receive actionable guidance and grow into independent, high‑performing engineers.
- Effective, responsible agentic coding practices that enhance productivity without sacrificing quality.
- Production incidents that are easier to diagnose, resolve, and prevent.
- A codebase that is easier to understand, modify, and operate over time.
Career Growth & Learning Opportunities
At brighthush, your career path is shaped by your ambition and the impact you deliver. We offer:
- Regular mentorship from senior leaders and subject‑matter experts.
- Access to cutting‑edge AI research, conferences, and workshops.
- Opportunities to lead cross‑functional initiatives, product features, or new technical domains.
- Clear progression from Senior Engineer to Lead Engineer, Principal Engineer, or Technical Lead roles.
- Support for pursuing certifications, advanced degrees, or specialized training.
Work Environment & Culture
Our remote‑first culture emphasizes trust, autonomy, and collaboration. You’ll enjoy:
- Flexible work hours that respect work‑life balance.
- Regular virtual team events, hackathons, and knowledge‑sharing sessions.
- A culture that celebrates experimentation, learning, and continuous improvement.
- Inclusive, diverse, and supportive community where every voice is heard.
- Transparent communication from leadership, ensuring you’re always aligned with the company’s vision.
Compensation & Benefits
While specific figures vary based on experience and location, brighthush offers a competitive total rewards package that includes:
- Base salary commensurate with market rates for senior software engineers.
- Performance‑based bonuses and equity opportunities that align your success with the company’s growth.
- Comprehensive health, dental, and vision insurance plans.
- Generous paid time off, parental leave, and flexible vacation policies.
- Professional development budget for courses, conferences, and certifications.
- Wellness programs, mental health resources, and access to virtual fitness classes.
How to Apply
If you’re ready to shape the future of conversational AI, lead high‑impact projects, and mentor the next generation of engineers, we’d love to hear from you. Submit your application through our careers portal and join brighthush in building the next wave of intelligent, chat‑centric solutions.
About brighthush
brighthush is a forward‑thinking technology company dedicated to creating chat and agentic software systems that empower businesses and consumers alike. We operate at the intersection of AI, software engineering, and user experience, delivering products that are both powerful and user‑friendly. Our team is passionate about building systems that are reliable, scalable, and ethically responsible.
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