AI Engineer

📋 Description

• Design and build AI features, pipelines, and automation.
• Integrate and fine-tune LLMs, embeddings in production apps.
• Develop and maintain RAG pipelines, vector search, and agents.
• Write clean, scalable backend and API code for AI features.
• Benchmark and iterate on model outputs for quality and reliability.
• Collaborate with cross-functional teams to architect AI solutions.

🎯 Requirements

• Strong Python programming and software engineering fundamentals.
• Hands-on experience with LLMs via API and SDK.
• RAG architectures, vector DBs (Pinecone, Weaviate, Chroma), and prompt engineering.
• Familiarity with LangChain, LlamaIndex, AutoGen, or CrewAI.
• REST APIs and integrating third-party services.
• Ability to work autonomously in a fast-paced remote environment.

🎁 Benefits

• Remote work with global clients.
• Flexible time zones across US time zones (EST–PST).
• Competitive pay and growth opportunities.
• Access to cutting-edge AI tools and projects.
• Collaborative global team and remote-friendly culture.