Roles & Responsibilities:- End-to-End Application Building: Design, build, and ship custom AI-native web applications, internal tools, and interactive dashboards from scratch.- Backend & API Architecture: Develop scalable Python backend services, RESTful APIs, and context-aware AI pipelines.- RAG & Prompt Engineering: Implement robust prompt engineering, RAG (Retrieval-Augmented Generation) frameworks, and context management systems.- Rapid Prototyping: Leverage up-to-date AI-assisted coding tools to rapidly validate, prototype, and iterate product features.- Performance Optimization: Continually optimize production applications for execution speed, cost efficiency, and infrastructure scalability.Total Experience: 2 - 6 yearsMust-Have Skills:- Full-Stack Development Ownership:
2+ years of software/AI engineering experience with strong Python backend development skills and hands-on frontend expertise in React or Next.js.- LLM API Integration: Proven track record of shipping end-to-end applications integrating LLM APIs (OpenAI, Claude, Hugging Face).- Core Technical Stack: Strong understanding of REST APIs, microservices, system design, data manipulation (Pandas, NumPy), embeddings, and RAG architectures.- Production-First Mindset: Focus on applying AI into shipped, user-facing production products rather than theoretical model training. (ref:hirist.tech)