Agentic Engineer — Full Stack

Objection is building the truth infrastructure for the next century: fast, adversarial, AI-native adjudication at civilisational scale. Backed by Peter Thiel and launched in April 2026 to coverage across the BBC, Der Spiegel, TechCrunch, Fortune, and the Boston Globe — we are pioneering a new category at the intersection of AI, journalism, and legal technology.

We are creating a platform for structured dispute resolution — adversarial fact-checking with ELO-rated participants, AI-assisted evidentiary analysis, and transparent methodology. We operate with complete editorial and institutional independence.

We run on a deliberate cadence: three weeks per month fully distributed, asynchronous, deep work; one week per month mandatory in-person for alignment, architectural debates, and strategic decisions. When remote, we operate on GMT time.

Each month, the company meets in the city we believe is the best at that time of year. Our current rotation includes Nassau (winter), New York City (spring and autumn), and London/Europe (summer). We follow seasonality and intensity. Strategy in Nassau. Commercial tempo in NYC. Institutional engagement cycles in Europe.

We are seeking engineers to build the core systems that power Objection’s adversarial adjudication platform — from the real-time debate interface and ELO rating engine to the AI-native infrastructure that makes structured dispute resolution possible at scale.

This is a full-stack role. You will work across the front end and back end, owning features from architecture through to deployment. We are a small team building a category-defining product. There is no division between “front-end” and “back-end” engineers here — we expect range and ai-first coding skills.

This role is suited for professionals accustomed to:

• Building and shipping product in high-ambiguity, high-velocity environments

• Making sound architectural decisions without excessive guidance

• Integrating AI tooling and large language models into production systems

• Working asynchronously with clear written communication

As an Engineer, you will:

• Design, build, and ship product features end-to-end across the full stack

• Architect systems for real-time adversarial workflows, structured argumentation, and AI-assisted adjudication

• Build and maintain APIs, data pipelines, and the infrastructure layer that supports platform scale

• Integrate large language models and AI tooling into core product flows

• Write clean, tested, well-documented code with high iteration velocity

• Collaborate directly with product and commercial teams on architecture and prioritisation

Required Experience

Strong software engineering fundamentals across front-end and back-end systems, with experience building and shipping product in fast-moving environments.

Core Competencies

• Fluency with modern AI tooling, LLM integration, and agentic programming patterns

• Comfort with ambiguity and the ability to own technical decisions

• Clear, disciplined written communication

• Intensity, speed, and a bias toward building over discussing

• Experience designing systems and automating workflows

• High tolerance for scrutiny and direct feedback

• Not a ticket-queue engineering role

• Not maintenance or legacy system work

• Not incremental feature iteration on an established product

This is greenfield infrastructure for a new category. You will build systems that do not yet exist.

• Compensation: $100,000–$150,000 annually, depending on seniority

• Fully remote, with mandatory monthly in-person summits in rotating global cities (Nassau, NYC, London/Europe)

• Round-trip flights, hotel accommodation, and structured summit programming provided

• Meaningful equity grants and annual performance bonus

• We will calibrate seniority and scope to the right candidate

To Apply: Submit your CV and a link to something you built that you are proud of — a shipped product, an open-source contribution, or a technical write-up that demonstrates how you think.