Responsibilities
- Implement and maintain Claude-powered workflows and agents using Python.
- Call LLM APIs (Claude and others), parse responses, and integrate them into internal tools or web applications.
- Collaborate with senior engineers to connect agents to external tools, REST APIs, databases, and other services.
- Help with prompt design and iteration: test different prompts, contexts, and settings to improve reliability and output quality.
- Assist in building simple context-augmented/RAG-style workflows (e.g., feeding documents or data into LLMs in a controlled way).
- Write clean, readable Python code with basic tests, logging, and error handling.
- Work closely with designers and non-technical stakeholders to turn ideas into AI-powered features and tools.
Basic qualifications
- 1–2+ years of programming experience (professional, internship, or strong project work), with solid Python skills.
- Some hands-on experience with large language models (Claude, ChatGPT, Gemini, etc.), either through projects, coursework, or personal experimentation.
- Basic experience calling web APIs (REST/JSON) and handling JSON data in Python.
- Familiarity with core LLM concepts: prompts, tokens, context windows, and common issues like hallucinations.
- Comfort using Git and working in a collaborative development environment.
- Strong desire to learn, experiment, and improve; clear communication and willingness to ask questions.
- Ability and willingness to work on-site full time at our office location.
Preferred qualifications
- Direct experience with Claude (Claude API, Anthropic console, or Claude Skills).
- Projects involving chatbots, assistants, AI agents, or workflow automation.
- Exposure to web frameworks (FastAPI, Flask, or a front-end framework like React/Next.js).
- Experience working with or supporting graphic designers, content teams, or UX designers.
- Basic understanding of vector databases, embeddings, or RAG-style systems (not required, but a plus).
Benefits
- Full-time, on-site position with weekly pay.
- Competitive compensation package with benefits (health, PTO, etc. – customize as needed).
- A collaborative environment that encourages growth, shared ideas, and cross-functional learning.
- Direct mentorship from more experienced AI/LLM engineers on real-world projects.
- The opportunity to work hands-on with the latest LLM tools and workflows in a supportive team setting.
Tags & focus areas
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