Tech Stack

Description

You will lead the technical vision and architecture of our AI-powered location intelligence platform, building production-ready GenAI solutions from LLM integration to real-time streaming. Your work will directly transform how businesses understand and leverage location data, driving scalable AI systems that deliver measurable business impact.

Requirements

• 10+ years software development experience, with 1+ year building production GenAI solutions in B2B SaaS.
• Expert-level proficiency in backend engineering with Python, Java, Go, or Node.js.
• Experience designing microservices and deploying on AWS, GCP, or Azure.
• Hands-on experience with LLM frameworks (LangChain, LlamaIndex) and APIs (OpenAI, Anthropic).
• Demonstrated expertise in RAG systems, vector databases, and semantic search.

Responsibilities

• Lead technical vision and architecture decisions for GenAI products, ensuring scalability and performance.
• Establish technical roadmaps aligned with business objectives and scalability requirements.
• Design and implement end-to-end AI systems from prototype to production, including LLM integration, agentic architectures, and RAG implementations.
• Build robust data pipelines and infrastructure supporting AI/ML workloads at scale.
• Architect scalable microservices and cloud-native solutions supporting real-time AI applications.