Ai Engineer

• Build, deploy, and maintain text processing systems that interact with LLM.
• Design and develop Agentic AI systems (multi-agent orchestration, autonomous workflows, tool integration) for production environments.
• Extend and implement new features for the existing Agentic AI platform.
• Creatively research to find optimal solutions for new projects. Free to explore and use the latest algorithms and technologies.
• Strict adherence to data privacy rules.

• 3+ years of experience in AI/ML engineering or related fields.
• Proficient in leveraging AI-powered tools (GitHub Copilot, Claude, etc.) to enhance development productivity and workflow efficiency.
• Hands-on experience building Agentic AI systems (multi-agent orchestration, tool use, autonomous workflows).
• Experience in building GenAI data platforms/pipelines (data extraction, chunking, embedding, vector indexing, and serving).
• Strong experience with LLM frameworks (LangChain, LangGraph, LlamaIndex, CrewAI, or similar).
• Experience with RAG framework and advanced retrieval strategies.
• Solid understanding of prompt engineering, function calling, and LLM evaluation.
• Excellent in Python; familiar with FastAPI/Flask, bash scripting, and SQL.
• Experience with microservices and event-driven systems (Docker, Kubernetes, Pub/Sub, etc.).
• Experience with Cloud Platforms; Google Cloud Platform is a strong plus (Vertex AI, BigQuery, Cloud Run, etc.).
• Familiar with databases and networking concepts (VPC, Subnets, etc.).
• Understanding of data privacy, protection, and production deployment best practices.
• Good at speaking English.

Nice to have:

• Experience with vector databases (Pinecone, ChromaDB, Weaviate, etc.).
• Experience in building agentic framework core components from scratch (tool orchestration, memory management, planning, state machine, etc.).