Remote AI Agent Engineer

Top 3 Reasons To Join Us

Gain very attractive salary and benefits;

Be a developer, not a coder;

Excellent environment and team to help you grow.

The Job

The core product experience runs on an LLM-driven agent that extracts data from client-submitted receipts and documents over WhatsApp, proposes accounting entries, and answers staff questions inside the web app. We’re hiring an AI/Agent Engineer to take ownership of this entire layer, making it cheaper, safer and more reliable while closing specific security gaps (prompt injection, unchecked tool authorization) identified in a recent technical audit. You will work alongside a backend-leaning Fullstack Engineer, who owns the surrounding application and infrastructure.

Responsibilities

Own the LLM integration layer used for document extraction (OCR), accounting-entry proposals, and the in-app chat agent, currently built on Anthropic/OpenAI APIs

Implement prompt caching to cut redundant token usage. An identified ~83% cost-reduction opportunity  and introduce per-tenant usage budgets and quotas

Harden the agent against prompt injection: treat all extracted document text as untrusted input, and require explicit confirmation gates before any tool call that grants data access, creates a contact, or moves money

Replace the agent’s currently hard-coded (effectively disabled) permission model with real, enforced per-tool authorization checks

Evaluate and implement model tiering, cheaper models for extraction, stronger models for judgment calls and plan a fallback provider for resilience

Build an evaluation/golden-file test harness so model or prompt changes can be validated before shipping to production

Implement PII redaction before data is sent to third-party LLM providers, and partner with the Fullstack Engineer to log every agent tool call to an audit trail

Advise on data-processing-agreement and data-residency questions for the AI sub-processors (Anthropic, OpenAI), alongside the company’s data-protection advisor

Contribute to the n8n-side automation where it touches AI extraction, the document-intake pipeline and coordinating handoffs with the Fullstack Engineer.

Your Skills and Experience

3+ years of experience building production applications on top of LLM APIs (Anthropic Claude, OpenAI, or equivalent)

Hands-on experience with agentic tool-use patterns, function/tool calling, multi-step agent loops, not just single-shot prompting

Strong prompt-engineering skills, including context management and techniques for defending against prompt injection

Proficiency in Python or TypeScript, sufficient to build and modify a backend AI-integration layer

Experience building or using evaluation frameworks/golden-file testing for LLM-based systems

Practical understanding of LLM cost structures and optimisation techniques, prompt caching, context trimming, model tiering

Working knowledge of security concerns specific to LLM systems: prompt injection, data exfiltration via generated content, unsafe tool authorization

Clear written communication in English; able to work asynchronously across time zones

Why You'll Love Working Here

You’ll love working here!

Competitive salary package.

Mon-Fri, flexible remote working.

12 days of annual leave and 3 additional special holidays (Swedish National Day, Christmas Eve & your Birthday).

Annual leave increases with loyalty.

Premium health care package for employees & family members.

English, professional working environment.

Opportunities to gain hands-on experience in cutting-edge technologies.