AI Engineer (Hybrid)

Job Description :
- 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.

Job Requirement :

- 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.