Key skills
PythonAIMLOpenAIAnthropicRAGLangChainLlamaIndexAutoGenChromaPineconeWeaviateCollaborationRemote Work
About this role
Role Overview
- Design and build AI-powered features, pipelines, and automation workflows from scratch
- Integrate and fine-tune LLMs, embedding models, and other ML systems into production applications
- Develop and maintain RAG pipelines, vector search systems, and agent-based architectures
- Write clean, well-structured code across backend and API layers to support AI feature delivery
- Evaluate, benchmark, and iterate on model outputs to ensure quality and reliability
- Collaborate with cross-functional teams to scope requirements and architect AI solutions
- Stay current with the rapidly evolving AI landscape and proactively introduce relevant tooling and approaches
- Document technical designs, system behaviour, and deployment processes clearly and thoroughly
Requirements
- Strong programming skills in Python
- Hands-on experience building with LLMs (OpenAI, Anthropic, Mistral, or similar) via API and SDK
- Practical experience with RAG architectures, vector databases (Pinecone, Weaviate, Chroma, etc.), and prompt engineering
- Familiarity with AI agent frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI
- Solid understanding of REST APIs and experience integrating third-party services and data sources
- Ability to work autonomously in a fast-paced remote environment with minimal hand-holding
- Must have prior remote work experience
- Fluent with remote collaboration tools
Tech Stack
- Python
Benefits
- Highly competitive, transparent compensation
- Rewarding performance and results
- Paid for work done