AI / ML Engineer
- Джерело:
- djinni.co
Що робити
- Agentic Systems & GenAI Engineering
- Design, deploy, and debug sophisticated agentic AI workflows with multi-step reasoning, memory integration, and Model Context Protocol (MCP).
- Build and operate multi-agent systems using LangGraph, LangChain, or equivalent frameworks.
- Architect and continuously improve Retrieval-Augmented Generation (RAG) pipelines, including chunking strategies, retrieval mechanisms, and end-to-end evaluation.
- Deploy and operate LLM-based services in production.
Що очікуємо
- 5+ years of professional experience as an ML Engineer, Data Scientist, AI Engineer, Software Developer, or a similar role.
- Proven experience shipping and operating production software.
- Outstanding proficiency in Python.
- Strong experience working with large-scale structured data using SQL.
- Proven practical experience building and serving LLM-based or agentic AI systems for real users in production, rather than only developing internal prototypes.
Що пропонуємо
- Experience in Risk, Fraud, Credit, Insurance, Cybersecurity, Fintech, or similar domains.
- Experience with GenAI observability, drift detection, and evaluation frameworks such as LangSmith, Evidently, or RAGAS.
- Hands-on experience with AWS environments and MLOps automation.
- Experience with containerisation and CI/CD for machine learning systems.
- Experience with LLM
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