Role overview
Design, develop, and deploy AI agents capable of performing autonomous tasks.
Build and fine-tune solutions using LLMs (e.g., OpenAI, Gemini, Claude, Mistral, LLaMA).
Proficient in Retrieval-Augmented Generation (RAG) systems and experienced with vector databases, leveraging these technologies to enhance AI model performance and scalability
Implement communication between agents using agent orchestration frameworks.
Automate workflows for sales, project management, accounting, and localization.
Collaborate with backend and frontend teams to integrate AI services.
Conduct prompt engineering and evaluation of model outputs.
Ensure the scalability and performance of AI systems in production environments.
- 1+ years of experience in AI/ML engineering or applied NLP.
- Strong experience with LLMs and frameworks like LangChain, AutoGen, or CrewAI.
- Solid Python skills; familiarity with FastAPI or Flask is a plus.
- Experience with vector databases (e.g., Pinecone, Weaviate, ChromaDB).
- Experience deploying models using Docker or cloud environments.
- Understanding of multi-agent systems and conversational workflows.
- Familiarity with version control (Git) and CI/CD practices.
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Ai Ai Engineer Machine Learning Robotics Generative Ai