The Role
Design, build, and deploy LLM-powered solutions and scalable backend systems. Implement data extraction, semantic search, document analysis, agentic flows, and evaluation frameworks. Continuously evaluate, tune, and improve model performance while collaborating with product, design, and legal teams.
Summary Generated by Built In
Fledge
Job Summary
In this role, you will
Required Skills and Qualifications
Nice to Have
In return, they offer
How to Apply
🌈 Diversity, Equity, Inclusion and Belonging
ℹ️ Important
We are a boutique Talent search firm connecting exceptional Talent with the most innovative companies in the AI and software development industries across EMEA. Our clients are among companies with innovative products that have a positive impact on our societies and we present them with a solution model between fine consulting and flexible recruitment process outsourcing :
- Fractional Talent acquisition advisory
- Recruitment operation tools
- On-demand Talent sourcing expertise
Job Summary
We are seeking a senior AI Engineer with hands-on experience working with Large Language Models (LLMs) to join our team. The ideal candidate will have a strong background in developing, deploying, and optimizing LLM-powered solutions. This role requires a focus on evaluating, experimenting with, and continuously improving the quality and performance of AI systems, including tuning models and workflows. While experience in machine learning is a plus, it is not a strict requirement for this role. Proficiency in Python is preferred.
In this role, you will
- Collaborate with product, design and legal teams to design and build LLM- based solutions to complex business problems.
- Build and maintain scalable backend systems and APIs to support AI- driven features.
- Develop tools and workflows for data extraction, semantic search, and document analysis.
- Implement and work with agentic flows and enable tool use within AI systems.
- Design, build, and maintain robust evaluation frameworks and metrics to measure the performance and quality of LLM-powered solutions.
- Use evaluation results to drive iterative improvements and tuning of AI systems.
Required Skills and Qualifications
- Proven experience working with LLMs (e.g OpenAI, HuggingFace, LangChain, LangGraph).
- Strong programming skills, with Python as a plus.
- Experience with evaluating, experimenting with, and tuning AI models and solutions.
- Experience designing, implementing, and using evaluation frameworks for AI systems, particularly LLMs.
- Familiarity with backend development, RESTful APIs, and scalable system design.
- Knowledge of ML concepts and tools (e.g PyTorch, Scikit-learn) is advantageous but not required.
Nice to Have
- Exposure to legal tech, data privacy, or document processing solutions
- Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
In return, they offer
- Top of the market salary
- Equity plan
- Relocation support
- Visa administration
If you are excited about this opportunity and believe you are a great fit for the role, please send your resume and a brief cover letter outlining your experience and what motivates you to join our client.
We are committed to enabling everyone to feel included and valued and trust our partners to do the same. Both the company and its culture are strongest when composed of diverse experiences and backgrounds.
All qualified applicants will receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws.
If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best - please let us know so we can talk about how we can best support you and make any adjustments that may be needed.
In case of any doubts or questions, please contact Julien - [email protected]
Skills Required
- Proven experience working with LLMs (e.g., OpenAI, HuggingFace, LangChain, LangGraph).
- Experience evaluating, experimenting with, and tuning AI models and solutions.
- Experience designing, implementing, and using evaluation frameworks for LLMs.
- Familiarity with backend development, RESTful APIs, and scalable system design.
- Strong programming skills.
- Proficiency in Python.
- Knowledge of ML tools and concepts (e.g., PyTorch, Scikit-learn).
- Experience with semantic search and document analysis/document processing.
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The Company
What We Do
Fledge is the conscious company accelerator, focused on mission-driven for-profit startups addressing the most important problems of the world: poverty, hunger, unemployment, communities, and the environment.
