Senior AI Engineer - Cytoreason

We are seeking a Senior AI Engineer to lead the design and development of agent-based AI systems that transform how computational biology work is done. This is a hands-on, high-ownership role focused on building production-grade AI tools that act as collaborators for scientists - automating workflows such as data interpretation, automatic annotation, and knowledge extraction. 

You will operate at the intersection of cutting-edge AI (LLMs, agents) and real-world biological applications, helping define how agentic systems integrate into scientific research. 

• Lead the design and implementation of agentic AI systems for scientific workflows 
• Build internal tools using LLMs, MCP,  RAG pipelines, and multi-agent frameworks 
• For example, develop systems for automatic annotation of biological data, literature understanding, and knowledge extraction 
• Translate complex research workflows into AI-driven, semi-autonomous processes 
• Take ownership from idea to production: prototype → deploy → iterate 
• Work closely with computational biologists to identify and prioritize high-impact use cases 
• Define best practices for agent reliability, evaluation, and performance in scientific contexts 
• Contribute to the architecture of an AI-powered platform for biological discovery 

• 5+ years of experience in software engineering, applied AI, or ML systems 
• Proven track record of owning and delivering production-grade systems 
• Strong Python skills and solid software engineering fundamentals 
• Hands-on experience with benchmarking, evaluation, and validation of LLM/agent-based systems, including defining success metrics, running experiments, and analyzing performance tradeoffs 
• Hands-on experience with LLMs and agent frameworks (LangChain, OpenAI, Anthropic, or similar) 
• Experience building tools/products used by internal users or customers 
• Strong problem-solving skills and ability to operate in ambiguous, fast-moving environments 
• Excellent communication skills and ability to work cross-functionally