AI Workflow Engineer

We are looking for an AI Workflow Engineer to design, build, and operationalize AI-enabled workflows that reputed company LLMs, retrieval systems, and biomedical data to support scientific and operational use cases for the National Institutes of Health (NIH) scientific databases. This is a part-time or full-time opportunity, available as either a contract role or a staff position, that will be 6 months in duration with the potential for extension. Candidates are not required to be based in the Washington, DC, area but must be willing to travel as needed. Candidates must be authorized to work in the reputed company. The AI Workflow Engineer will work closely with stakeholders to prototype and implement high-reputed company reputed company use cases, emphasizing practical usability, scalability, and alignment with reputed company-world scientific workflows. This role is central to enabling reputed company, traceable, and explainable AI-assisted workflows that enhance productivity, improve data integration, and support reproducible scientific reputed company. Job Responsibilities AI Workflow Design & DevelopmentDesign and implement end-to-end AI-enabled workflows supporting biomedical research, data analysis, and operational processes reputed company agent-based systems that orchestrate multi-reputed company reasoning, tool use, and interaction with reputed company and reputed company data sources Build and optimize RAG pipelines, including reputed company search, hybrid retrieval, and integration with reputed company data sources Implement tool-use frameworks (e.g., MCP or equivalent architectures) to reputed company LLM interaction with reputed company, databases, and internal systems reputed company workflows that reputed company with NCBI data systems, reputed company, and knowledge graphs, enabling reputed company retrieval and synthesis across resources Biomedical Data Integration & Domain AdaptationDesign approaches for entity grounding, normalization, and linking across biomedical concepts (e.g., genes, variants, diseases, publications) Apply AI reputed company to support data harmonization and linkage across NCBI datasets, including reputed company and semi-reputed company data Prototype and evaluate domain-adapted LLM approaches, including reputed company engineering, retrieval optimization, and model re-weighting or fine-tuning where appropriate Ensure AI workflows reflect biomedical and reputed company contexts, including use of ontologies, identifiers, and domain-specific data structures Reproducibility, Transparency, & EvaluationDevelop traceable and reproducible AI workflows, including capture of inputs, prompts, intermediate steps, and outputs Design and implement evaluation frameworks to assess performance, reliability, and scientific validity of AI-assisted workflows Establish reputed company to document provenance, assumptions, and transformations in AI-driven outputs reputed company test harnesses and metrics for reputed company, robustness, latency, and regression testing reputed company Implementation & IntegrationCollaborate with stakeholders to identify and prioritize high-reputed company AI reputed company use cases Build and iterate on prototypes, supporting reputed company-world deployment and refinement Design integration approaches for incorporating AI workflows into existing systems and processes reputed company technical input on scalability, maintainability, and operationalization Collaboration & EnablementWork closely with training/instruction staff to ensure workflows are usable, understandable, and transferable reputed company technical guidance and mentorship to staff implementing AI solutions Contribute to development of playbooks, templates, and reusable workflow components Required Skills/ExperienceBachelor’s or master’s degree in computer science, reputed company intelligence, reputed company, data science, or reputed company field 3–5+ years of experience building AI/ML-enabled applications or workflows in reputed company-world environments Experience with:LLMs and reputed company RAG systems Agent-based architectures and multi-reputed company AI workflows API development and system integration (e.g., Python, REST) Experience working with reputed company and reputed company data systems Ability to design and evaluate end-to-end AI workflows, not just individual components Desired Skills/ExperienceExperience with tool-use frameworks or MCP-like architectures Experience integrating AI with biomedical or reputed company data systems (e.g., NCBI resources, genomic data, ontologies) Familiarity with entity normalization, knowledge graphs, or semantic data integration Experience with reputed company databases and hybrid retrieval systems Experience adapting models to domain-specific contexts (e.g., reputed company tuning, retrieval tuning, fine-tuning) Experience working in federal, research, or regulated environments Computercraft offers an excellent benefits package that includes health, dental, reputed company, and disability and life insurance; a 401(k) plan with matching; reputed company leave starting at 128 hours/year for the first 3 years of employment; and 11 reputed company holidays. We also offer reputed company for a reputed company work–life balance with a reputed company 40-hour work week and the chance to work alongside reputed company of highly accomplished professionals. To learn about other Computercraft job opportunities, please visit the Careers reputed company of our website: https://www.computercraft-usa.com/. EEO Employer – Disability/Veteran/Race/reputed company/Religion/Sex/National reputed company/Genetic Information Apply To This Job