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The role in plain words
This role involves joining the core R&D team to build complex backend infrastructure and next-generation AI features from scratch. You will design robust RAG pipelines, integrate LLMs into production environments, and work with Vector DBs to automate contract analysis and smart pricing. Day-to-day tasks include working with FastAPI or Django, microservices, and cloud infrastructure on Azure.
- 4+ years of complex Backend Python magic (FastAPI/Django)
- Real hands-on experience with LLMs, OpenAI API, LangChain/LlamaIndex
- Deep understanding of Microservices and cloud infrastructure
- A passion for turning research into scalable products
- Solid experience with relational databases (MySQL) and familiarity with Vector Databases (e.g., Pinecone, Milvus, Qdrant)
Extracted from the job description · kept up to date automatically
Who this suits
This role suits an experienced backend developer with at least 4 years of Python experience and hands-on familiarity with LLMs, LangChain, and cloud tools like Docker and Kubernetes. It is less ideal for junior developers or those without experience in AI integrations and microservices.
Full job description
Original listing · kept for referenceAre you a Python wizard who speaks fluent AI? At DealHub , we’re not just talking about the AI revolution – we’re actively building it into the core of how the world’s leading B2B companies close deals! We are looking for a Senior Python Backend Engineer to join our core R&D team in Holon (Hybrid) and take ownership of our next-gen AI features. Why is this role exciting? Instead of just wrapping basic API calls, you will be building complex infrastructure from scratch. You’ll be designing robust RAG pipelines, integrating LLMs into heavy-duty production environments, and working with Vector DBs to automate contract analysis and smart pricing for thousands of enterprise users.
Requirements: • 4+ years of complex Backend Python magic (FastAPI/Django). • Real hands-on experience with LLMs, OpenAI API, LangChain/LlamaIndex. • Deep understanding of Microservices and cloud infrastructure. • A passion for turning research into scalable products. • Solid experience with relational databases (MySQL) and familiarity with Vector Databases (e.g., Pinecone, Milvus, Qdrant). • Experience working with cloud infrastructures (AZURE), including Docker and Kubernetes. • Ability to work independently and lead complex technical projects from ideation to successful customer delivery. If you want your code to directly impact millions of dollars in B2B revenue while working with the absolute bleeding edge of tech – we need to talk
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- Hybrid
- 4+ years of complex Backend Python magic (FastAPI/Django), Real hands-on experience with LLMs, OpenAI API, LangChain/LlamaIndex, Deep understanding of Microservices and cloud infrastructure, A passion for turning research into scalable products, Solid experience with relational databases (MySQL) and familiarity with Vector Databases (e.g., Pinecone, Milvus, Qdrant)