Solutions Engineering Intern - Commerical Team (Chicago)

Job Description

Applied AI Intern – Salt OS

Location: Evanston, IL

• Remote (Chicago based)
  
  

Department: Office of the CBO & Sales Solutions

About The Role

Salt AI is looking for a motivated intern to work directly with our Chief Business Officer and Sales Solutions team. You'll help design, prototype, and implement AI-driven solutions across pharmaceutical, biotech, and enterprise applications—with hands-on exposure to how agentic AI can transform real-world R&D and commercial workflows.

Example Projects

• Computational protein design workflows to accelerate therapeutic discovery
• Clinical trial design with agentic leverage
• Drug discovery pipelines using multi-agent coordination
• Personalization engines driving omnichannel customer touchpoints
• AI copilots for genetic counseling
• Full-team workflow design for agent-led financial restructurings
  
  

What You'll Do

• Architect and iterate on agent-based systems that execute complex workflows, particularly in drug discovery and life sciences R&D
• Work alongside the CBO and solutions engineers to understand client workflows end-to-end
• Build functional workflow prototypes using Salt's orchestration platform
• Reproduce and evaluate existing AI models and research papers
• Help identify opportunities within drug discovery and adjacent domains where AI can enhance processes
• Support development and optimization of ML and deep learning models for research applications
• Research domain-specific requirements across life sciences, financial services, and energy
• Contribute to reusable templates, documentation, and technical content
• Stay current with emerging AI trends, agent frameworks, and orchestration tooling
• Collaborate cross-functionally to translate scientific and business problems into AI-driven approaches
  
  

Requirements

• Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, AI, Data Science, Bioinformatics, Computational Biology, or related field
• Experience with LLMs, agent frameworks, or workflow orchestration tools (e.g., LangChain, AutoGen, BioNemo)
• Familiarity with AI-assisted coding tools (e.g., Claude Code, Codex)
• Academic or personal AI/ML project experience
• Exposure to analyzing or reproducing research papers
• Coursework or project work related to life sciences, bioinformatics, or computational biology
• Strong analytical and problem-solving skills
• Effective communication and teamwork skills
• Willingness to learn and adapt in a fast-paced, build-from-scratch environment
  
  

Nice to Have

• Prior experience in drug discovery or AI research
• Interest in pharmaceutical or biotech applications
• Familiarity with scientific computing environments, data lineage, or provenance tracking
• A scrappy mentality—comfortable wearing multiple hats
• Professional-level English communication skills
  
  

Perks and Benefits

• Competitive internship compensation based on location
• Fully remote environment, working primarily within U.S.-based time zones
• Direct mentorship from senior leadership including the CBO and solutions engineering team