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Senior RAG Engineer - LangChain/Production AI Systems Job Opening In Cannes – Now Hiring Wallester


Job description

About us
Wallester is a cutting-edge financial technology company that specializes in providing innovative solutions for businesses seeking to modernize their payment systems.

By offering white-label card issuance platforms, seamless integration with existing infrastructure, and comprehensive support for both digital and physical cards, Wallester empowers companies to enhance their financial services and customer experience.

Recognized as a leader in the FinTech space, Wallester has earned a reputation for its state-of-the-art technology, security, and scalability.

Whether you are a startup or an established enterprise, Wallester delivers flexible, reliable solutions tailored to meet the evolving needs of the digital economy.
About the role
We're seeking an exceptional engineer specialized in RAG (Retrieval-Augmented Generation) systems to build Wallester's intelligent knowledge base.

You'll be responsible for the architecture, development, and deployment of a RAG system capable of ingesting housands of documents (Drive, emails, history) and providing perfect institutional memory accessible in natural language.

Progressive deployment over 9 months: General knowledge base → Department integrations (Sales, Finance, Support) → Advanced features and scaling.

We're looking for a true expert capable of designing and implementing complex RAG architectures with LangChain/LangGraph and orchestrating workflows with n8n.

What you'll do
General Knowledge Base

+ Design complete RAG architecture with LangChain

+ Implement Google Drive ingestion pipeline (5000+ documents)

+ Build 3-way hybrid search (semantic + BM25 + pattern matching)

+ Deploy Supabase with pgvector optimization

+ Create LangGraph workflows for orchestration

Department Integrations

+ Connect Pipedrive (Sales), Admin Panel (Finance), Support systems

+ Develop autonomous agents per department with LangGraph

+ Build n8n workflows for business logic

+ Implement conversation memory and query routing


Production & Scaling

+ Optimize for 1000+ queries/day with <1s latency

+ Implement intelligent caching and error handling

+ Set up RAG evaluation metrics (precision, recall, faithfulness)

+ Monitor with LangSmith/LangFuse


What you'll need

+ Truly masters LangChain/LangGraph in production

+ Has built production RAG systems (not just POCs)

+ Understands trade-offs (latency, quality, cost, chunking)

+ Knows the LangChain ecosystem (LangSmith, LangFuse, integrations)

+ Experience 3-5 years minimum in software development with production AI/ML projects

+ Python expert with complex production projects

+ LangChain/LangGraph: Confirmed production experience (required)

+ n8n: Production workflow experience with complex pipelines (required)

+ RAG/LLM portfolio: Deployed systems, GitHub, technical articles

+ Bonus: TypeScript, Redis, advanced n8n scaling (workers, queues)

We offer

+ Competitive salary

+ Career opportunities

+ Supportive and caring Leadership

+ A modern office in the center of Valbonne

+ A chance to work as part of a highly motivated and talented team

+ Referral program

+ Team building and Company Events

+ Free parking


Required Skill Profession

Other General


  • Job Details

Unlock Your Senior RAG Potential: Insight & Career Growth Guide


Real-time Senior RAG Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Senior RAG in Cannes, France, highlighting market share and opportunities for professionals in Senior RAG roles.

4728 Jobs in France
4728
15 Jobs in Cannes
15
Download Senior Rag Jobs Trends in Cannes and France

Are You Looking for Senior RAG Engineer LangChain/Production AI Systems Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Wallester adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying France laws and regulations

What Is the Average Salary Range for Senior RAG Engineer LangChain/Production AI Systems Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Cannes. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Senior RAG Engineer LangChain/Production AI Systems?

Key qualifications for Senior RAG Engineer LangChain/Production AI Systems typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Senior RAG Engineer LangChain/Production AI Systems Job Success

Wallester interview tips for Senior RAG Engineer   LangChain/Production AI Systems

Here are some tips to help you prepare for and ace your Senior RAG Engineer LangChain/Production AI Systems job interview:

Before the Interview:

Research: Learn about the Wallester's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior RAG Engineer LangChain/Production AI Systems interview at Wallester, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Wallester's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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