AI Software Engineer (KBase Project)

• Build agent-based tools using Python, LangChain, LangGraph, CrewAI, and modern LLMs.
• Develop AI agents that interact with the KBase Datastore and Delta Lake/PySpark Lakehouse.
• Design agent state management, prompt strategies, and benchmarking to ensure reliability and performance.
• Develop robust, tested software for agent orchestration and workflow integration.
• Collaborate with the AI/ML team on foundational models and tools for microbial genomics.
• Integrate AI capabilities across front-end and back-end systems.
• Develop, test, maintain, and document software following team quality standards.
• Provide technical guidance and mentorship on AI tools and system integration.

What We Are Looking For

• A Bachelor’s Degree (or equivalent knowledge/training) in Computer Science, Engineering, Computational Biology, or a related field and a minimum of 5 years of relevant work experience in AI agent frameworks, data engineering, and software development in service of scientific research or an equivalent combination of education and experience.
• Experience designing and implementing intelligent agents for scientific or technical workflows for analyzing biology and environmental data sets.
• Experience working with large language models (LLMs) and prompt engineering across multiple providers.
• Demonstrated experience with PySpark and data engineering using modern lakehouse architectures, including Delta Lake.
• Experience deploying and supporting data- and compute-intensive workflows on high-performance computing (HPC) systems and/or cloud-based research infrastructure.
• Demonstrated proficiency in Python and AI agent frameworks, including LangChain, LangGraph, and CrewAI.
• Familiarity with machine learning libraries, such as PyTorch, TensorFlow, and Scikit-learn.
• Knowledge of open-source collaboration, including GitHub workflows and Agile practices.
• Strong understanding of AI agent architecture, including agent state management, evaluation, and benchmarking.
• Demonstrated analytical and problem-solving skills, including the ability to identify, troubleshoot, and resolve technical problems of diverse scope where analysis of data requires evaluation of identifiable factors.
• Excellent oral and written communication skills, including the ability to organize and present technical information effectively to both technical and non-technical audiences.
• Demonstrated interpersonal and collaboration skills, including the ability to work effectively with a variety of scientific, operations, and technical teams., * A Master’s Degree (or equivalent knowledge/training) in Computer Science, Engineering, Computational Biology, or a related field and a minimum of 3 years of relevant work experience in AI agent frameworks, data engineering, and software development in service of scientific research or an equivalent combination of education and experience.
• Experience with scientific reproducibility practices and metadata standards.
• Familiarity with scientific data analysis and visualization techniques., * Appointment Type: This is a full time, exempt from overtime pay (monthly paid), 1 year (benefits eligible), Term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.

• Salary Information: This position has a budgeted salary range of $117,132 - $146,400 annually, for job code C70.2. It is not typical for an individual to be offered a salary at or near the top of the budgeted range for a position. Salary for this position will be commensurate with the final candidate’s qualification and experience, including skills, knowledge, relevant education, certifications, and aligned with the internal peer group.
• Background Check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.