Are you interested in an innovative, performant and sustainable environment?
Join Leyton, an international consulting firm that helps businesses leverage financial incentives to accelerate their growth and achieve long-lasting performance. Our consultants simplify access to complex incentives. Combined teams of highly skilled Tax and Technical specialists enhanced with cutting-edge digital tools maximize the financial and non-dilutive benefit for all types of businesses and organizations.
In the Techlab, our mission is to develop and code to digitalize processes and workflows to help other business units to optimize their work for and optimal service delivery.
We are seeking a highly skilled and innovative Backend Developer (AI) with deep expertise in Python and modern AI frameworks to join our team. You will be responsible for building and optimizing AI-powered backend systems, with a focus on FastAPI , Groq API , and AI integration tools like LangChain and LlamaIndex . The ideal candidate will have experience in working with vector databases and implementing Retrieval-Augmented Generation (RAG) pipelines for cutting-edge AI applications.
Key Responsibilities:
- Develop and maintain high-performance backend APIs using FastAPI and other Python-based frameworks.
- Integrate AI models and SDKs such as LangChain , LlamaIndex , and PyTorch into backend systems to power AI-driven features.
- Work with Groq API to optimize AI model deployment, ensuring efficient and scalable AI services.
- Design and implement RAG pipelines , enabling efficient retrieval of relevant information and integration with generative AI models.
- Manage, optimize, and scale AI systems using vector databases such as Pinecone , Chroma , or other similar databases to support fast and accurate search and retrieval.
- Collaborate with front-end developers, data scientists, and machine learning engineers to design robust AI-backed solutions.
- Implement scalable and maintainable backend architectures to support dynamic AI services.
- Optimize models for inference and ensure low-latency responses from the API endpoints.
- Stay up to date with the latest AI/ML technologies and apply them to enhance our backend systems.
- Monitor, debug, and resolve issues related to AI model performance, backend systems, and database interactions.
Qualifications:
- Extensive experience in Python with hands-on expertise in FastAPI and PyTorch for building and deploying backend services.
- Proficiency with AI integration tools such as LangChain and LlamaIndex for enhancing backend capabilities with AI-driven models.
- Knowledge and experience with Groq API or other AI hardware/software optimization tools.
- Strong experience working with vector databases like Pinecone , Chroma , or similar, optimizing data retrieval processes.
- Proven experience implementing RAG pipelines to improve retrieval processes in generative AI applications.
- Solid understanding of APIs , backend best practices, and scalable infrastructure design.
- Familiarity with cloud-based AI deployment and services (AWS, GCP, Azure, etc.).
- Strong problem-solving skills and an ability to deliver results in a fast-paced, dynamic environment.
- Good communication and collaboration skills, capable of working cross-functionally with AI researchers, data engineers, and front-end developers.
- Bonus: Experience with MLOps pipelines and model serving frameworks.
If you’re excited about the intersection of backend development and artificial intelligence, and you have experience with RAG pipelines and vector databases , we’d love to hear from you!
Voulez-vous recevoir plus d'offres d'emploi?
S'abonner et recevoir des offres d'emploi similaires à Backend Developer. Soyez le premier à postuler!