Solutions Engineering Intern - Commerical Team… at Salt AI · Remote

Summary: Salt AI is a company focused on providing AI solutions for regulated industries, particularly in life sciences. They are seeking a motivated intern to work with their Chief Business Officer and Sales Solutions team, helping design and implement AI-driven solutions that transform workflows in pharmaceutical and biotech sectors. 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 Required Qualifications: - 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 Preferred Qualifications: - 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 Required Skills: Large Language Models (LLMs), Agent frameworks, Workflow orchestration tools, AI-assisted coding tools, AI/ML project experience, Research paper analysis, Life sciences domain knowledge, Bioinformatics, Computational biology 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.