Senior LLM Security Engineer - AI & Authentication

Hub

Województwo pomorskie

Hybrid

PLN 240,000 - 360,000

Full time

4 days ago
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Benefits offered by this job

Hybrid work model
Private medical care
Training budget
English classes
Mentoring program

Job summary

Framna is developing AI-powered security solutions for a next‑generation, passwordless authentication platform used by millions. You will work with Python and LLMs to prepare data, fine-tune models, and integrate with APIs and product tools.

You will test for quality, reliability, and cost efficiency while exploring adversarial risks across mobile environments and translating findings into product improvements.

Qualifications

  • At least 7 years of experience in software engineering, machine learning engineering, or security engineering.
  • 2+ years of hands-on experience developing and maintaining LLM-based solutions in production.
  • Good knowledge of Python and ability to build maintainable, testable software.
  • Experience building backend components and integrating models with applications, APIs, and data sources.
  • Understanding of model evaluation and validation, including data quality and data leakage.
  • Experience with prompt engineering and managing the context provided to models.
  • Experience building AI agents, including tool calling and orchestrating multi-step workflows.
  • Experience designing evaluation datasets and regression tests for LLM-based solutions.
  • Practical understanding of security risks related to LLMs and AI agents, with testing for manipulation and bypass safeguards.
  • Ability to analyse traffic, telemetry, or behavioural patterns to investigate automated activity.

Responsibilities

  • Develop and evaluate AI-powered security solutions for a passwordless authentication platform.
  • Prepare data, fine-tune models, and manage prompts and context with APIs and product tools.
  • Build evaluation datasets and regression tests to improve quality and cost efficiency.
  • Conduct controlled adversarial testing to identify weaknesses in safeguards.
  • Investigate threats across Android and iOS environments and translate findings into product improvements.
  • Collaborate in occasional in-person studio meetings to share knowledge.

Skills

Python
LLM
Security engineering
Machine learning engineering
Backend development
Data analysis
Prompt engineering
AI agents
Testing
Data quality

Tools

garak
promptfoo
Langfuse
Docker
CI/CD
LoRA/QLoRA
PEFT

Job description

Framna is developing AI-powered security solutions for a next‑generation, passwordless authentication platform used by millions. You will work with Python and LLMs to prepare data, fine-tune models, and integrate with APIs and product tools.

You will test for quality, reliability, and cost efficiency while exploring adversarial risks across mobile environments and translating findings into product improvements.

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