ai engineer

Software Country has 30 years of experience in developing custom software systems, including high-load applications, AI/BI solutions, and mobile applications. The project aims to build an agent assistant for configuring, running, and interpreting complex workflows in early-stage drug discovery.

• Design and implement agentic AI systems, including agent workflows and orchestration;
• Design and own the data structures behind agentic pipelines (memory, state, retrieval, tool use) in production;
• Build and iterate on prompts, skills, and agent definitions;
• Integrate agents with APIs and databases;
• Collaborate with the front-end engineer to integrate agent interactions into a chat interface.

• Strong understanding of a variety of LLMs and their capabilities and agentic infrastructure;
• Experience designing and integrating APIs for AI-powered systems;
• Comfortable working across the stack — from prompt engineering to data layer to UI handoff;
• Nice to have: Hands-on experience with Amazon Bedrock, familiarity with multi-agent frameworks and patterns, experience with evaluation and observability for agentic systems, prior work integrating agents into conversational UIs, experience in chemistry, cheminformatics, or drug discovery domain, Python.

• Flexible work schedule;
• Opportunities for professional growth;
• A company laptop to ensure a comfortable and efficient work setup;
• Relocation support is available.