The Role
- Build and deploy production AI applications using LLMs
- Design agentic workflows and multi-step AI pipelines
- Develop scalable backend APIs and cloud-native services
- Create RAG pipelines, embeddings, and AI retrieval systems
- Improve AI reliability through testing, evaluation, and guardrails
- Work closely with engineering, product, and business teams
- Strong Python backend engineering experience
- Experience building and deploying LLM-based applications
- Good understanding of APIs, distributed systems, and cloud platforms
- Hands-on experience with RAG, embeddings, and AI orchestration
- Experience with Docker/Kubernetes and modern engineering practices
- Comfort operating in a fast-moving product environment
- Opportunity to work on genuinely cutting-edge AI products
- High-impact engineering role with real ownership
- Modern tech stack and AI-first environment
- Fully remote flexibility





