NextLink Group

AI Engineer – Life & Health Re

NextLink Group

contract

Posted on:

Location Type: Remote

Location: United States

Visit company website

Explore more

AI Apply
Apply

About the role

  • Own and maintain prompt engineering strategies, including prompt versioning, testing, and optimization
  • Design AI workflows that combine models, prompts, tools, enterprise data, and business logic
  • Implement AI orchestration layers to manage multi-step reasoning, decisioning, and actions
  • Ensure AI systems integrate cleanly into business workflows, APIs, and user interfaces
  • Apply guardrails to ensure safe, explainable, and compliant AI behavior
  • Support in building and maintaining production-grade deployment pipelines for AI solutions
  • Ensure reliability, scalability, cost control, and latency optimization
  • Implement monitoring and observability for AI systems (usage, performance, drift, failures)
  • Define and enforce change control, versioning, rollback, and release management processes
  • Collaborate closely with data scientists, actuaries and other business functions
  • Validate model behavior, outputs, and assumptions from a production and business-use perspective

Requirements

  • 5+ years of experience in AI/ML engineering, advanced analytics, or advanced software engineering roles
  • Strong algorithmic and problem-solving skills
  • Strong programming skills in Python/PySpark and strong SQL expertise
  • Exposure to Data Science methods in validating AI models
  • Palantir Foundry and AIP experience
  • Hands-on experience with prompt engineering, prompt testing, and prompt lifecycle management
  • Experience implementing RAG architectures and similar approaches
  • Experience with AI orchestration frameworks, agentic patterns, and tool/function calling
  • Strong understanding of model evaluation, calibration techniques, and monitoring
  • Familiarity with model explainability, fairness, and robustness
  • Experience with MLOps tooling and practices
  • Experience working in cloud environments (AWS, Azure, or GCP)
  • Experience integrating AI models into production systems with monitoring, logging, and alerting
  • Experience working with large data sets on enterprise data platforms and distributed computing (Spark/Hive/Hadoop preferred)
Benefits
  • N/A 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI engineeringML engineeringadvanced analyticsPythonPySparkSQLprompt engineeringMLOpsmodel evaluationcalibration techniques
Soft Skills
algorithmic skillsproblem-solvingcollaboration