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- Tasks: Design and scale LLM-powered agents while ensuring clean, efficient code.
- Company: Intecfy partners with a stealth-mode fintech scale-up to revolutionise financial services using AI.
- Benefits: Enjoy competitive pay, autonomy, an annual learning budget, and a well-being allowance.
- Why this job: Make an immediate impact in a diverse, inclusive team while working fully remote.
- Qualifications: 5+ years of Python experience and proven skills in building production LLM agents.
- Other info: This is a long-term freelance role open to talent across the EU/EEA and UK.
The predicted salary is between 50000 - 70000 £ per year.
AI Engineer – Freelance – 100 % Remote from Europe
Join to apply for the AI Engineer – Freelance – 100 % Remote from Europe role at Intecfy
AI Engineer – Freelance – 100 % Remote from Europe
Join to apply for the AI Engineer – Freelance – 100 % Remote from Europe role at Intecfy
Get AI-powered advice on this job and more exclusive features.
This is a remote position.
Intecfy is partnering with a stealth-mode, VC-backed B2B fintech scale-up on a mission to bring seamless financial services to one billion people through cutting-edge AI. We’re looking for a hands-on AI Engineer who can design and scale LLM-powered agents at lightning speed, while keeping code as clean as a Swiss bank vault. This is a long-term, freelance (B2B) engagement for talent based anywhere in the EU/EEA or the UK (±2 h CET).
Responsibilities
- Design & refine LLM agents using retrieval-augmented generation (RAG) and advanced data-retrieval pipelines.
- Build evaluation frameworks, metrics, benchmarks and automated tests to ensure agent reliability and fairness.
- Apply solid NLP fundamentals (tokenisation, embeddings, architecture know-how) and mitigate bias.
- Practise prompt engineering (few-shot, role-based, chain-of-thought) with tools like Weave, LangSmith or Laminar.
- Juggle token limits, cost and latency without sacrificing structured and high-quality outputs.
- Write modular and maintainable Python for data-intensive back-end services and rapid data processing.
Requirements
- Minimum 5 years experience of Python mastery for high-performance and data-heavy applications.
- Proven experience building production LLM agents with RAG.
- Deep understanding of AI evaluation methodologies and NLP core concepts.
- Strong prompt-engineering chops and a habit of systematic experimentation.
- Comfort working autonomously in an async and fully remote environment.
Nice to Have
- Vector databases (FAISS, Qdrant), MLOps, cloud infra (AWS/GCP/Azure).
- Fintech or RegTech exposure.
- Contributions to open-source LLM tooling.
Benefits
- Competitive European day rate and the freedom of true freelancing.
- Ownership & autonomy from day one, your impact is immediate and visible.
- Annual learning budget for conferences, courses and certifications.
- Well-being allowance for gym, sports or that standing desk your back keeps begging for.
- Inclusive Environment: we value diverse perspectives and believe in the strength of an inclusive team.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
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Job function
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Job function
Information Technology
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AI Engineer - Freelance - 100 % Remote from Europe employer: Intecfy
Contact Detail:
Intecfy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - Freelance - 100 % Remote from Europe
✨Tip Number 1
Familiarise yourself with the latest advancements in LLM technology and retrieval-augmented generation (RAG). Being able to discuss recent developments or share your insights during an interview can set you apart from other candidates.
✨Tip Number 2
Showcase your experience with Python by preparing examples of past projects where you've built production-level LLM agents. Be ready to explain your thought process and the challenges you faced, as this demonstrates your problem-solving skills.
✨Tip Number 3
Engage with the AI and fintech communities online. Participating in forums, attending webinars, or contributing to open-source projects can help you network and may even lead to referrals for the position.
✨Tip Number 4
Prepare to discuss your approach to prompt engineering and how you mitigate bias in AI models. Having a clear understanding of these concepts will show that you are not only technically skilled but also aware of the ethical implications of AI.
We think you need these skills to ace AI Engineer - Freelance - 100 % Remote from Europe
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, LLM agents, and any relevant AI projects. Use specific examples that demonstrate your mastery in these areas.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and fintech. Mention how your skills align with the responsibilities outlined in the job description, particularly your experience with retrieval-augmented generation and prompt engineering.
Showcase Relevant Projects: If you have worked on any projects related to AI, especially those involving LLMs or NLP, be sure to include them in your application. Provide links to your GitHub or portfolio to give a clear picture of your capabilities.
Highlight Remote Work Experience: Since this is a fully remote position, emphasise any previous remote work experience. Discuss how you manage your time and communicate effectively in an asynchronous environment.
How to prepare for a job interview at Intecfy
✨Showcase Your Python Mastery
Make sure to highlight your extensive experience with Python, especially in high-performance and data-heavy applications. Be prepared to discuss specific projects where you've demonstrated your coding skills and how you maintained clean, modular code.
✨Demonstrate Your LLM Experience
Since the role focuses on building production LLM agents, come ready to discuss your previous work with retrieval-augmented generation (RAG). Share examples of how you've designed and refined LLM agents, and be ready to explain the methodologies you used.
✨Prepare for Technical Questions
Expect technical questions related to AI evaluation methodologies and NLP core concepts. Brush up on your knowledge of tokenisation, embeddings, and architecture, as well as any relevant tools like Weave or LangSmith that you've used in prompt engineering.
✨Emphasise Your Autonomy and Remote Work Skills
As this is a fully remote position, it's crucial to convey your ability to work autonomously in an asynchronous environment. Share experiences that demonstrate your self-motivation and how you've successfully managed projects remotely.