Design and build LLM-powered backend systems and production AI features. Develop agent workflows and tool integrations, implement RAG pipelines with vector search, handle prompt orchestration and context management, and optimize performance, latency, and cost.
Location: Tunis (Lac 2), Tunisia
Tappz is building AI-native applications powered by large language models. We’re moving fast in a highly competitive space and need an engineer who is fully focused on AI systems and agent development.
We’re looking for someone who enjoys high ownership, working hard, and shipping real AI products.
Tasks
Design and build backend systems powered by LLMs Develop agent workflows and tool integrations Build RAG pipelines with vector search Handle prompt orchestration and context management Optimize performance, latency, and cost Ship AI features into production products
Requirements
Strong backend engineering (Node.js, Typescript, Python, Nest.js, GCP) Deep experience working with LLMs and AI APIs Experience building AI agents or multi-step workflows Vector DB experience (Pinecone/Weaviate/etc.) RAG implementation experience Prompt engineering and system design Production deployment experience
Mindset we value: Ownership, speed, and the willingness to go the extra mile
Benefits
High ownership in a fast-growing AI startup, remote-friendly setup, and the chance to build agent systems in production.
If you want to build AI agents in production with a lot of ownership and impact, apply now.
Tappz is building AI-native applications powered by large language models. We’re moving fast in a highly competitive space and need an engineer who is fully focused on AI systems and agent development.
We’re looking for someone who enjoys high ownership, working hard, and shipping real AI products.
Tasks
Design and build backend systems powered by LLMs Develop agent workflows and tool integrations Build RAG pipelines with vector search Handle prompt orchestration and context management Optimize performance, latency, and cost Ship AI features into production products
Requirements
Strong backend engineering (Node.js, Typescript, Python, Nest.js, GCP) Deep experience working with LLMs and AI APIs Experience building AI agents or multi-step workflows Vector DB experience (Pinecone/Weaviate/etc.) RAG implementation experience Prompt engineering and system design Production deployment experience
Mindset we value: Ownership, speed, and the willingness to go the extra mile
Benefits
High ownership in a fast-growing AI startup, remote-friendly setup, and the chance to build agent systems in production.
If you want to build AI agents in production with a lot of ownership and impact, apply now.
Similar Jobs
Artificial Intelligence • Mobile • Software • App development
Build and ship full-stack web and backend features, develop scalable backend services and APIs, integrate AI models/APIs, collaborate with product/design, and improve performance, reliability, and scalability.
Top Skills:
Ai Models/ApisAPIsGCPNest.JsNext.JsNode.jsReactTypescript
Artificial Intelligence • Mobile • Software • App development
Lead the product roadmap for Tappz's AI mobile and web apps. Prioritize features from research and data, write technical specs, manage Linear backlog, run engineering ceremonies, ensure smooth product-to-engineering handoffs, set success metrics, and communicate progress to stakeholders.
Top Skills:
AIAnalyticsJIRALinearLlms
Artificial Intelligence • Information Technology • Machine Learning • Professional Services
Design, fine-tune, and deploy LLMs for business applications; build low-latency inference pipelines; evaluate and integrate open-source models or APIs; collaborate on production deployments; run evaluation frameworks and monitor models for continuous improvement.
Top Skills:
AnthropicAWSDockerFaissFalconFastapiGCPHugging Face TransformersKubernetesLangchainLlamaLoraMistralOnnx RuntimeOpenaiPeftPineconePrompt EngineeringPythonPyTorchQloraRagTensorFlowTritonVllmWeaviate
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
