Job Description
Job Description
Responsibilities:
Design and build GenAI applications and multi-agent systems using Python and LLM APIs (OpenAI, Anthropic, Google) plus open-source models Develop RAG pipelines, agentic workflows, and integrations connecting agents to corporate databases, APIs, and enterprise systems Own features end-to-end: prototyping, evaluation, and deployment to cloud (AWS/Azure/GCP) with production-grade reliability Evaluate and optimize AI outputs — improve accuracy, reduce hallucinations, tune performance Collaborate with senior engineers, architects, and consultants on client projects; contribute to design decisions
Requirements: Min. 3 years commercial experience in Software Engineering or Data Engineering Min. 1 year hands-on with LLMs / Generative AI Strong Python; solid SQL Hands-on experience building RAG pipelines and/or...
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