Sr. Principal Software and AI Engineer
New
J
JobgetherClinical AI
Remote position based in the United StatesFull-TimePrincipal
SalaryAnnual base salary ranging from $137,400 to $182,400
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Job Details
- Experience
- Bachelor's degree with at least 7 years of relevant experience, a master's degree with at least 5 years of experience, or a Ph.D. with at least 3 years of experience.
- Required Skills
- PostgreSQLPythonElasticSearch.NET
Requirements
- Hold a bachelor's degree with at least 7 years of relevant experience, a master's degree with at least 5 years, or a Ph.D. with at least 3 years.
- Bring extensive software engineering and AI/ML engineering experience, including principal-level or technical leadership responsibilities.
- Have owned large-scale AI products from concept through deployment and delivered reliable, production-grade AI or agentic applications.
- Have strong backend development expertise in Python and/or .NET and experience across frontend interfaces, APIs, databases, and deployment environments.
- Have hands-on experience with relational, search, and graph databases, such as PostgreSQL, Elasticsearch, and Neo4j.
- Demonstrate practical knowledge of multi-agent application development, agent harness design, context engineering, orchestration, tool integration including MCP, and human-in-the-loop controls.
- Be able to select and apply frontier and open-weight models, implement structured outputs and guardrails, and validate model behavior.
- Have experience designing enterprise knowledge architectures, ontologies, knowledge graphs, and retrieval systems.
- Be able to develop layered AI evaluation strategies using expert benchmarks, rule-based checks, human assessments, model-based grading, and production monitoring.
- Understand LLMOps, secure cloud deployment on AWS, Microsoft Azure, or Google Cloud Platform, and modern observability practices.
- Be familiar with AI coding tools and disciplined testing, code review, continuous integration, and continuous delivery.
- Be able to lead technical workstreams, mentor senior engineers, influence architecture, and communicate complex technical concepts to varied stakeholders.
- Be willing to travel approximately 10% of the time.
Responsibilities
- Architect, develop, and deploy production-ready AI-powered and agentic applications for clinical protocol generation, study design, and clinical trial operations.
- Establish scalable architectures for multi-agent orchestration, model integration, tool connectivity, and the LLMOps lifecycle.
- Own technical direction, project execution, priorities, scope, timelines, and software quality from concept through production deployment.
- Define practices for AI-native development, testing, evaluation, observability, continuous monitoring, and CI/CD.
- Evaluate foundation models, open-weight models, agent frameworks, and development tools to guide technology selection and build-versus-buy decisions.
- Design and maintain ontologies, knowledge graphs, and retrieval systems for structured and governed scientific information.
- Implement AI evaluation, privacy, security, auditability, traceability, responsible AI, and human oversight in production systems.
- Collaborate with clinical, medical writing, biostatistics, data science, product, and clinical operations teams on regulated workflows.
- Mentor engineers through architecture discussions, code reviews, reference implementations, and technical coaching.
- Apply AI-assisted development tools and modern software practices to improve productivity while maintaining testing rigor and quality.
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