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Job Details

Job description


Company culture :

Leyton stands out for a strongly cooperative and people-centered culture, where trust, collaboration and employee well-being are key pillars. The company promotes a close management approach focused on support, empowerment and high-quality team relationships. This collaborative foundation is complemented by a significant innovation dimension, fostering initiative, creativity and agility. Competitive and organizational cultures play a more secondary role, providing structure, performance orientation and operational efficiency.




Job :

First and foremost a seasoned Software Engineer, you master the design and development of robust production-grade applications. You integrate AI capabilities - LLMs, agents, RAG - into the systems you build, without being a data scientist. You may work on two types of contexts: internal Leyton CognitX projects (Java/Spring Boot), or assignments for large enterprise clients in varied stacks (Python, Node.js/TypeScript or other). The allocation is determined based on business needs and activity.



Key Responsibilities



Software Engineering - Core of the Role



• Design and develop complete end-to-end features: APIs, business logic, unit and integration tests, deployment.



• Ensure code quality: SOLID principles, design patterns, clean architecture, code reviews, SonarQube.



• Build and maintain robust REST APIs - versioning, security, error handling, performance.



• Work in CI/CD environments: Git flow, PR reviews, automated pipelines, regression testing.



• Ensure scalability and security of production systems.



AI Integration - Expected Capability



• Integrate LLMs into business applications: OpenAI, Anthropic, Mistral - via API, with token, cost, and latency management.



• Build RAG pipelines: chunking, embedding, vector stores, retrieval - as a component of a larger application.



• Implement LLM agents with LangChain / LangGraph for automated workflows.



• Measure and evaluate the quality of AI outputs integrated into the product (RAGAS, custom metrics, monitoring).



Leadership & Collaboration



• Mentor junior and mid-level engineers - code reviews, technical mentoring, sharing best practices.



• Work directly with clients / product owners: gather requirements, present technical solutions, adapt communication style.



• Participate in architecture decisions and define the team's technical standards.



Project Planning & Delivery



• Translate business needs into robust and well-architected technical solutions.



• Break down strategic objectives into manageable tasks, estimate workloads, and define clear delivery roadmaps.



• Drive feature delivery on time, aligned with product and business objectives.



• Track and help resolve technical blockers to maintain team efficiency.



• Prepare and validate deliverables, ensuring smooth delivery aligned with business goals.





Required profile :

Ideal Candidate Profile



• 3 to 5 years of experience in software development - you are above all a solid Software Engineer.



• Proficiency in Java/Spring Boot for internal projects, and ability to switch to Python or Node.js/TypeScript for client assignments.



• Proven hands-on experience integrating LLMs into applications (production systems, not just notebooks).



• Ability to manage multiple projects simultaneously and prioritize effectively.



• Problem-solving mindset: brute force -> optimization -> edge cases - able to think out loud.



• Curiosity for applied AI, practical sense: you assess what does or does not warrant using AI in a system.



• Strong client communication skills and ability to mentor junior profiles.



What We Offer



  • Opportunities for professional development and advancement within a growing organization.
  • Involvement in large-scale worldwide projects spanning over 18 countries, providing exposure to diverse cultures and environments.
  • Collaborative and challenging work environment, surrounded by brilliant collaborators who inspire continuous improvement and innovation.
  • TechlabWay career growth path, offering opportunities for career advancement and skill development.
  • Modern and stylish office environment equipped with cutting-edge technologies.
  • Access to the latest technologies and tools, working on the forefront of innovation in the industry.


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