Solutions Engineering Intern - Commerical Team (Chicago)

Summary

Salt AI is dedicated to providing reliable and transparent AI solutions for regulated industries. They are looking for a motivated intern to work with their Chief Business Officer and Sales Solutions team to design and implement AI-driven solutions across pharmaceutical, biotech, and enterprise applications.

Responsibilities

• 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, from initial discovery through prototype delivery
• Build functional workflow prototypes using Salt’s orchestration platform, translating client and research problems into working demonstrations
• Reproduce and evaluate existing AI models and research papers to assess their applicability within Salt’s infrastructure
• Help identify opportunities within drug discovery and adjacent domains where AI can meaningfully enhance processes and outcomes
• Support the development and optimization of ML and deep learning models for research applications, adapting them for new use cases
• Research domain-specific requirements across life sciences, financial services, and energy—feeding findings back to the commercial and product teams
• Contribute to reusable templates, documentation, and technical content that enable partners to self-serve and scale
• Stay current with emerging AI trends, agent frameworks, and orchestration tooling, and share insights with the broader team
• Collaborate cross-functionally to translate scientific and business problems into AI-driven approaches

Skills

• Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Data Science, Bioinformatics, Computational Biology, or a related field
• Experience with LLMs, agent frameworks, or workflow orchestration tools (e.g., LangChain, AutoGen, BioNemo, or similar)
• Familiarity with AI-assisted coding tools (e.g., Claude Code, Codex, or similar)
• Academic or personal AI/ML project experience—you've built things, not just studied them
• 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—able to translate technical concepts into practical, client-facing applications
• Willingness to learn and adapt in a fast-paced, build-from-scratch environment
• Prior experience in drug discovery or AI research
• Interest in pharmaceutical or biotech applications, particularly therapeutic discovery pipelines
• Familiarity with scientific computing environments, data lineage, or provenance tracking
• A scrappy mentality—comfortable wearing multiple hats, driving clarity in ambiguous situations, and doing whatever it takes to move things forward
• Professional-level English communication skills

Qualifications

Must Haves

• Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Data Science, Bioinformatics, Computational Biology, or a related field
• Experience with LLMs, agent frameworks, or workflow orchestration tools (e.g., LangChain, AutoGen, BioNemo, or similar)
• Familiarity with AI-assisted coding tools (e.g., Claude Code, Codex, or similar)
• Academic or personal AI/ML project experience—you've built things, not just studied them
• 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—able to translate technical concepts into practical, client-facing applications
• Willingness to learn and adapt in a fast-paced, build-from-scratch environment

Nice to Haves

• Prior experience in drug discovery or AI research
• Interest in pharmaceutical or biotech applications, particularly therapeutic discovery pipelines
• Familiarity with scientific computing environments, data lineage, or provenance tracking
• A scrappy mentality—comfortable wearing multiple hats, driving clarity in ambiguous situations, and doing whatever it takes to move things forward
• Professional-level English communication skills

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.