AI Full-Stack & Agent Engineer

About the job

ABOUT NOVARA Novara is an early-stage, AI-native company building systems to improve how people and organizations discover major future opportunities, strengthen judgment and turn strong decisions into real-world creation.

The opportunity

Novara is seeking an AI Full-Stack & Agent Engineer who can turn product ideas into reliable working software. You will build across the application stack, create and integrate AI-agent workflows, connect models and data interfaces, and help the team run fast, disciplined experiments.

This is a delivery role, not an architecture-only position. The right engineer is product-minded, comfortable moving across frontend, backend and AI infrastructure, and able to choose simple, testable implementations in a fast-changing early-stage environment.

What you will own

·     Build and ship end-to-end product features across frontend, backend, APIs and data interfaces.

·     Develop agent workflows that are observable, testable and bounded by clear human decision points.

·     Integrate external APIs, model providers and internal services with reliable error handling, security and cost awareness.

·     Create automated workflows that reduce manual operations and improve the speed of product learning.

·     Support multi-model invocation, evaluation and fallback patterns without coupling the product to a single provider.

·     Prototype rapidly, test with real users and convert validated experiments into maintainable production code.

·     Work closely with product, judgment, operations and governance owners to preserve provenance, permissions and clear system boundaries.

·     Improve engineering quality through tests, instrumentation, documentation, code review and pragmatic deployment practices.

What success looks like

·     Useful product increments shipped quickly and evaluated against explicit user and system outcomes.

·     Agent and model integrations that can be inspected, tested and improved rather than operating as opaque demos.

·     Reliable APIs and data flows with clear failure behavior, monitoring and ownership.

·     A faster experiment-to-learning loop without accumulating avoidable architecture or security debt.

What we are looking for

·     Strong hands-on software engineering experience across a modern web stack, with evidence of products you personally shipped.

·     Experience building with large language models, agent frameworks, retrieval or tool-calling systems in real applications.

·     Solid API design, data modeling, testing, debugging and production reliability skills.

·     Ability to work across frontend and backend and to learn unfamiliar systems quickly.

·     Product judgment: you can identify the critical path, cut unnecessary scope and validate assumptions with working software.

·     Comfort with ambiguity, rapid iteration and direct collaboration in a small distributed team.

·     Clear thinking about privacy, permissions, provenance, model limitations and human accountability.

Strong pluses

·     Experience with Python, TypeScript, React, PostgreSQL, containerized deployments or cloud infrastructure.

·     Experience with multi-model routing, evaluation, observability, workflow automation or human-in-the-loop systems.

·     Early-stage startup experience and a public portfolio, GitHub profile or shipped product examples.

How we work

·     Founding-stage ownership: you will build the system, not inherit a finished playbook.

·     High standards with low bureaucracy: decisions, owners, evidence and outcomes should be visible.

·     AI as leverage: agents can accelerate research, drafting, coordination and analysis, but named humans remain accountable for consequential judgment.

·     Global collaboration: the team works across functions, locations and time zones.

·     Long-term orientation: we care about durable capability and real-world results, not activity or hype.

Position details

Job type: Full-time, paid

Primary location: San Francisco Bay Area, California; remote initially. Exceptional candidates in other locations may be considered.

Compensation: Competitive salary and equity, calibrated to experience, role scope and expected impact. Final range is subject to approval and must be added before publication where required.

Travel: Travel is limited, though occasional in-person planning or product sessions may be requested.

Suggested LinkedIn skills: Full-stack engineering; Python; TypeScript; React; APIs; PostgreSQL; LLM applications; AI agents; workflow automation; testing; cloud deployment

How to apply

Apply through LinkedIn with your profile or resume and a brief note addressing the prompt below.

APPLICATION PROMPT Include links to relevant code or shipped products and describe one AI-enabled feature you personally took from concept to working deployment.

Novara evaluates candidates on relevant experience, demonstrated judgment and the ability to produce results. We welcome applicants from different backgrounds and do not discriminate on any basis protected by applicable law.