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About brighthush
brighthush is a trailblazing AI‑first company that is redefining how enterprises harness knowledge at scale. By blending cutting‑edge language models with robust data pipelines, we empower organizations to unlock insights, automate decision‑making, and deliver hyper‑personalized experiences. Our mission is simple yet ambitious: to make AI accessible, trustworthy, and transformative for every business, no matter its size or industry.
Founded by a team of seasoned technologists and industry veterans, brighthush has quickly become a go‑to partner for Fortune 500 firms, fast‑growth startups, and public sector agencies. We pride ourselves on a culture that values integrity, resourcefulness, relentless execution, collective empowerment, and deep expertise—the same values that guided us from day one and continue to shape our growth trajectory.
Why Join brighthush?
As a founding member of our AI engineering team, you will be at the forefront of building the next generation of knowledge systems. You will work side‑by‑side with senior leadership, product managers, and enterprise clients to design, prototype, and ship AI solutions that solve real business problems. Your work will directly influence the roadmap of brighthush’s flagship platform and will be showcased in industry conferences, white papers, and open‑source contributions.
We offer a collaborative, inclusive environment where ideas are challenged, experimentation is encouraged, and learning is a continuous journey. With a generous compensation package, flexible work arrangements, and a commitment to professional growth, brighthush is the place where you can build a career that matters.
The Role
As a Founding AI Engineer – Customer‑Facing, you will serve as the technical bridge between our AI platform and the complex needs of enterprise customers. Your responsibilities will span the entire product lifecycle—from discovery and design to deployment and post‑launch support—while driving innovation and ensuring the highest standards of quality and security.
Key Responsibilities
- Customer Engagement & Solution Design – Partner with enterprise clients to uncover high‑impact AI use cases, translate business objectives into technical requirements, and architect end‑to‑end solutions that fit within their existing infrastructure.
- RAG Pipeline Development – Design, implement, and optimize Retrieval‑Augmented Generation pipelines using Python, vector stores, and LLM orchestration frameworks. Ensure scalability, low latency, and data integrity.
- Cloud Deployment & Security – Build secure, compliant, and scalable AI applications on AWS, GCP, or Azure. Leverage IaC tools (Terraform, CloudFormation) and container orchestration (Kubernetes, Docker) to streamline deployments.
- Proof‑of‑Concept & Rapid Prototyping – Lead the creation of POCs, internal tools, and AI integrations with enterprise systems such as Slack, Notion, and Confluence. Validate concepts quickly and iterate based on stakeholder feedback.
- Data Pipeline Engineering – Develop production‑grade data pipelines using orchestration tools like Dagster or Airflow. Ensure data quality, lineage, and observability.
- Open‑Source Contribution – Actively contribute to the brighthush open‑source ecosystem. Drive core feature development, fix bugs, improve documentation, and engage with the community.
- Frontend & Tooling – Build intuitive frontend components and developer tools using TypeScript/JavaScript to enable seamless integration for both internal teams and external partners.
- Customer Workshops & Onboarding – Lead workshops, deployment reviews, and technical onboarding sessions. Translate complex technical concepts into actionable insights for non‑technical stakeholders.
- Product Feedback Loop – Capture customer feedback, translate it into product insights, and collaborate closely with engineering and product teams to prioritize enhancements.
Essential Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, or a closely related field.
- Minimum of 5 years of post‑baccalaureate experience in a technical role such as Machine Learning Engineer, Solutions Architect, or Customer Engineer.
- Proven expertise in Python and SQL, with a track record of building and deploying AI/ML solutions in production.
- Experience customizing and deploying LLM‑based applications, including RAG architectures.
- Hands‑on experience with cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Familiarity with infrastructure‑as‑code tools such as Terraform.
- Strong frontend development skills in TypeScript/JavaScript.
- Direct experience interfacing with enterprise customers in a technical consulting or pre‑sales capacity.
- Experience building AI‑powered integrations with platforms like Slack, Notion, or Confluence.
- Willingness to travel domestically and internationally up to every 2 weeks for customer workshops, deployment support, and cross‑site engineering collaboration.
- Availability for weekend and evening hours to support global deployments.
Preferred Qualifications
- Advanced degree (M.S. or Ph.D.) in AI, Data Science, or a related discipline.
- Experience leading technical teams or mentoring junior engineers.
- Knowledge of compliance frameworks (GDPR, CCPA, SOC 2) and experience building compliant AI solutions.
- Proficiency in additional programming languages such as Go, Rust, or Java.
- Experience with large‑scale data processing frameworks (Spark, Flink).
- Published research or contributions to AI conferences and journals.
Skills & Competencies
- Technical Leadership – Ability to guide cross‑functional teams, set technical direction, and make data‑driven decisions.
- Problem Solving – Strong analytical mindset with a knack for turning constraints into opportunities.
- Communication – Excellent verbal and written communication skills; able to explain complex concepts to both technical and non‑technical audiences.
- Customer‑Centricity – Passion for delivering value to clients and a deep understanding of enterprise workflows.
- Adaptability – Comfortable working in a fast‑paced, evolving environment with shifting priorities.
- Collaboration – Proven track record of working effectively with product, design, data, and operations teams.
Career Growth & Learning Opportunities
At brighthush, your career trajectory is shaped by your ambition and the impact you create. As a founding engineer, you will:
- Lead the architectural design of flagship products and influence the overall technical strategy.
- Mentor junior engineers and foster a culture of continuous learning.
- Participate in high‑visibility projects that shape industry standards.
- Attend conferences, workshops, and hackathons to stay at the cutting edge of AI research.
- Access internal training programs, certifications, and tuition reimbursement for advanced studies.
Work Environment & Culture
brighthush thrives on a culture that blends Apply for this job