After several years of R&D Lettria has launched its first products Lettria GraphRAG and already gained the trust of international clients such as La Poste Euronext and Sia Partners. Backed by 8M in seed funding and leading academic partners were building next-generation tools in Document Parsing OCR and Graph-based Knowledge Systems.
Were now looking for a passionate and autonomous ML/AI Engineer to join our small collaborative and low-ego team. Youll work closely with and be directly managed by our Senior ML Engineer contributing to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG) systems that power the next wave of intelligent knowledge tools.
Tasks
As an ML/AI Engineer youll play a key role in transforming research into production-ready AI systems.
Your main missions will include:
- Build & evolve our GraphRAG pipeline: Work alongside our Senior ML/AI Engineer to design develop and improve our Python-based GraphRAG solution.
- Research & Experimentation: Explore new AI and RAG approaches evaluate their potential and contribute to turning experiments into impactful product features.
- Cross-functional collaboration: Partner with Linguistics Backend and Product teams to ensure seamless integration of AI capabilities.
- Code Quality: Write clean efficient and well-tested Python code following best practices and a strong sense of reproducibility.
Requirements
Were looking for someone who combines strong technical skills with curiosity rigor and humility.
Must-haves:
- 3 years of experience with Python
- Strong analytical and mathematical mindset
- Hands-on experience or deep curiosity in GenAI and RAG pipelines
- Ability to move from research to production code
- Clear and structured communication style
- Degree in Computer Science Machine Learning or related field
Nice-to-haves:
- Knowledge of Knowledge Graphs (Neo4j AWS Neptune)
- Familiarity with vector databases (Qdrant Pinecone)
- Experience with OCR or document analysis
- Exposure to AWS MLOps or LLM fine-tuning
Benefits
- Join a fast-growing AI startup backed by 8M in funding and trusted by top-tier clients.
- Work on cutting-edge Generative AI and GraphRAG technologies with a strong focus on applied research.
- Be part of a small highly collaborative and low-ego team where your ideas have direct impact.
- Enjoy flexible remote work autonomy and opportunities to grow with the company.
- Collaborate with leading academic and industry experts.
If youre driven by curiosity love solving complex AI problems and want to build impactful products wed love to meet you!
Our recruitment process is clear and human-focused with just a few steps:
- Intro call with our Senior ML Engineer
- Technical assessment (Python problem-solving)
- Graph RAG use case session (on-site)
- Interview with our CTO
- Final discussion with our CEO and Product team
Apply now to join Lettria and help us push the boundaries of applied AI!
After several years of R&D Lettria has launched its first products Lettria GraphRAG and already gained the trust of international clients such as La Poste Euronext and Sia Partners. Backed by 8M in seed funding and leading academic partners were building next-generation tools in Document Parsing O...
After several years of R&D Lettria has launched its first products Lettria GraphRAG and already gained the trust of international clients such as La Poste Euronext and Sia Partners. Backed by 8M in seed funding and leading academic partners were building next-generation tools in Document Parsing OCR and Graph-based Knowledge Systems.
Were now looking for a passionate and autonomous ML/AI Engineer to join our small collaborative and low-ego team. Youll work closely with and be directly managed by our Senior ML Engineer contributing to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG) systems that power the next wave of intelligent knowledge tools.
Tasks
As an ML/AI Engineer youll play a key role in transforming research into production-ready AI systems.
Your main missions will include:
- Build & evolve our GraphRAG pipeline: Work alongside our Senior ML/AI Engineer to design develop and improve our Python-based GraphRAG solution.
- Research & Experimentation: Explore new AI and RAG approaches evaluate their potential and contribute to turning experiments into impactful product features.
- Cross-functional collaboration: Partner with Linguistics Backend and Product teams to ensure seamless integration of AI capabilities.
- Code Quality: Write clean efficient and well-tested Python code following best practices and a strong sense of reproducibility.
Requirements
Were looking for someone who combines strong technical skills with curiosity rigor and humility.
Must-haves:
- 3 years of experience with Python
- Strong analytical and mathematical mindset
- Hands-on experience or deep curiosity in GenAI and RAG pipelines
- Ability to move from research to production code
- Clear and structured communication style
- Degree in Computer Science Machine Learning or related field
Nice-to-haves:
- Knowledge of Knowledge Graphs (Neo4j AWS Neptune)
- Familiarity with vector databases (Qdrant Pinecone)
- Experience with OCR or document analysis
- Exposure to AWS MLOps or LLM fine-tuning
Benefits
- Join a fast-growing AI startup backed by 8M in funding and trusted by top-tier clients.
- Work on cutting-edge Generative AI and GraphRAG technologies with a strong focus on applied research.
- Be part of a small highly collaborative and low-ego team where your ideas have direct impact.
- Enjoy flexible remote work autonomy and opportunities to grow with the company.
- Collaborate with leading academic and industry experts.
If youre driven by curiosity love solving complex AI problems and want to build impactful products wed love to meet you!
Our recruitment process is clear and human-focused with just a few steps:
- Intro call with our Senior ML Engineer
- Technical assessment (Python problem-solving)
- Graph RAG use case session (on-site)
- Interview with our CTO
- Final discussion with our CEO and Product team
Apply now to join Lettria and help us push the boundaries of applied AI!
View more
View less