Key skills
CloudDockerFlaskPythonAIMLNLPOpenAIClaudeGeminiLlamaRAGLangChainAutoGenPineconeWeaviateFastAPIGitVersion ControlCI/CDProject ManagementCommunicationSales
About this role
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.
Requirements
- 3+ 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.
Tech Stack
- Cloud
- Docker
- Flask
- Python