Website:
gravton.ai
Job details:
About Gravton Labs
Gravton Labs is a team of engineers, data scientists, designers, and researchers dedicated to shaping the AI economy. As AI and LLMs such as ChatGPT transform customer interactions, our mission is to empower businesses to navigate and succeed in understanding and converting customer journeys. Our platform helps businesses monitor their presence across LLMs, identify new opportunities, enhance visibility, and optimize customer engagement with agentic workflows and scalable, on-brand content. Leveraging custom algorithms, real-world data, and integrations, Gravton Labs provides powerful insights and tools to help ambitious marketers, product managers, and agencies act on them in the AI-first world. At Gravton Labs, we experiment and innovate to develop cutting-edge products that redefine customer journeys in the digital age. Our mission remains to become the operating layer for all customer journeys that originate inside LLMs.
We are shipping V1 and onboarding our first design partners. Our team blends big tech and startup DNA, with pedigrees from IIT, BITs, and Cornell. This role is your chance to help build the foundation.
About the Role
This is a founding role for someone with 5-7 years of experience who writes code, thinks in systems, and leads people — comfortably doing all three at once. You will own the technical execution of the Gravton platform, from architecture to production, and will work directly with the Founder, Head of Data Science & ML, and Head of Revenue.
You will work with a team of young, ambitious engineers and an agentic product roadmap that is still evolving. Your job is to bring order, standards, and velocity to that — not wait for someone else to. Early on, you will design architectures, review pull requests, build the engineering playbook, and hire as the team grows. The path from here to the head of engineering or even CTO is real and intentional.
The right person sits comfortably between two extremes: the engineer who dives deep into code but ignores culture, and the manager who shapes culture and strategy but won't touch code. This role requires both, in the right measure, at the right time.
Key Responsibilities
System Architecture & Technical Direction: Own the end-to-end architecture of the Gravton platform. Design for modularity, observability, and resilience. Maintain a Living Architecture Document as the authoritative technical reference and drive all major system decisions with clear trade-off reasoning.
Backend, Data & Deployment: Build and own backend systems for data ingestion, indexing, analytics, and real-time updates. Manage the full deployment lifecycle across dev, staging, and production environments on AWS, using Docker, Kubernetes, Railway, Modal, and Nginx. Work in Python and FastAPI, with PostgreSQL via Supabase as the primary data layer. Own CI/CD discipline through GitHub.
Frontend & Integration: Own the contract between frontend and backend — API design, data contracts, state management, and real-time sync. Required frontend stack: React and Next.js. Ensure reliable integration across product surfaces, including AI visibility dashboards, prompt tracking, and governance controls.
Agentic & AI-First Systems: Build systems that interact with LLMs, RAG pipelines, and agentic workflows — including prompt orchestration, evaluation loops, and structured outputs. Think natively about systems in which AI is embedded within the flow.
Security & Compliance: Own security as an engineering requirement. Implement controls aligned with SOC 2 Type II, GDPR, and CCPA — including least-privilege access, audit logging, secrets management, and encryption at rest and in transit.
Written Technical Communication: Produce decision-quality documentation before implementation begins — not after. HLDs and LLDs at Gravton are narratives: context, options, trade-offs, risks, and the reasoning behind the chosen path. This is a core job output, not a supporting task.
Engineering Culture & Playbook: Own and evolve the Engineering Playbook: architecture standards, spec writing, review norms, HLD/LLD templates, risk management, and post-mortems. Set the quality bar and make it stick.
Team Building: Hire, mentor, and grow the engineering team. Define roles, establish working norms, and build a culture in which engineers own their work end-to-end.
What We're Looking For
- 5-7 years building and shipping production-grade backend systems, data pipelines, and distributed architectures. Top-tier academic background strongly preferred, or startup experience, or a track record that speaks for itself.
- Strong backend fundamentals: API design, PostgreSQL schema design, async workflows, and distributed systems trade-offs across performance, consistency, and cost.
- Stack fluency across: Airflow, Python, FastAPI, React, Next.js, PostgreSQL, Docker, Kubernetes, AWS, Modal, GitHub, Nginx, and AI-assisted coding IDEs. AngularJS is a plus.
- Written technical communication you can demonstrate: HLDs and LLDs that capture decision context, options, and trade-offs — produced before a line of code is written.
- Proactive ownership: you surface issues early, drive technical debates, and set standards the team follows.
- Active LLM system experience: something shipped involving LLMs, RAG, or agentic workflows in the last 12 months.
- Security and compliance fluency: SOC 2, GDPR, CCPA. You treat these as first-class engineering concerns.
- Leadership trajectory: You have mentored engineers, made hard calls, and want to grow into a CTO role.
Compensation
This role is equity-heavy by design. Base cash during the bootstrapped phase is minimal, paired with substantial equity and deferred cash — including a bonus — planned post-fundraise in 3-6 months. If near-term salary is your priority, this isn't the right fit.
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