FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Senior AI Engineer, Real-World Data
NateraSenior Engineer designing and building AI systems improving clinical data extraction for Natera. Focused on enhancing data quality and reliability through innovative technology solutions in healthcare.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying agent-based AI systems for clinical data extraction, with a strong focus on performance, scalability, and compliance in regulated environments. Proficient in Python and experienced in integrating AI capabilities into production systems while collaborating effectively with cross-functional teams.
Highest-signal resume keywords
AI/ML Application DevelopmentPython ProgrammingCloud Environment Design (AWS)CI/CD ImplementationHealthcare Industry Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringAgent-Based WorkflowsLLM-Based SystemsWorkflow OrchestrationTesting and Code ReviewProduction System IntegrationMonitoring and EvaluationError HandlingScalability OptimizationIncremental Improvement Delivery
Soft Skills
Technical LeadershipCollaborationCommunicationIndependent WorkProblem-Solving
Tools & Technologies
AWSCI/CD ToolsObservability ToolsAgile MethodologiesDocumentation Tools
Industry Keywords
Clinical Data ExtractionLife SciencesRegulated EnvironmentHealthcareDocument-Centric AI
Tech Stack
Tools & technologiesAWSCloudPython
About the role
Key responsibilities & impact- Design, build, and deploy agent-based AI systems that improve the quality and reliability of clinical data extraction in production.
- Own technical design and delivery for agent workflows.
- Integrate new AI capabilities into existing production platforms with attention to performance, scalability, and cost.
- Partner with clinical AI, engineering, and product teams to prioritize problems, define success metrics, and ship incremental improvements.
- Develop evaluation and monitoring approaches to measure impact, guide iteration, and support safe deployment in a regulated environment.
- Provide technical leadership through clear documentation, design decisions, and pragmatic tradeoffs across accuracy, cost, and delivery timelines.
Requirements
What you’ll need- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field; an advanced degree or background in a clinical or life sciences discipline is a plus.
- 7+ years of software engineering experience, including substantial work on production systems at scale.
- 3+ years building and shipping AI/ML-powered applications in production, with hands-on experience in LLM-based systems and multi-step or agent-based LLM workflows — including orchestration, structured outputs, error handling, and integration with downstream systems.
- Strong hands-on expertise in Python and modern software engineering practices, including testing, code review, workflow orchestration, and agile delivery in large existing codebases.
- Experience designing and operating AI systems in cloud environments, with AWS strongly preferred; experience with CI/CD, observability, and production support is expected.
- Proven ability to work independently and deliver end-to-end - from technical design through integration and rollout - with strong communication and collaboration across technical and non-technical stakeholders.
- Experience with retrieval-based or document-centric AI systems is strongly preferred.
- Experience in healthcare, life sciences, or other regulated industries is strongly preferred.
Benefits
Comp & perks- Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents.
- Free testing for Natera employees and their immediate families.
- Fertility care benefits.
- Pregnancy and baby bonding leave.
- 401k benefits.
- Commuter benefits.
- Generous employee referral program.