Agentic AI Engineer

Fractal Labs
New York
Workplace: RemoteFull timeUSD 120,000 - 140,000 annuallyFunction: Data Science & Machine LearningExperience: 5-10 yearsSkills: ["Analytical","Problem-solving"]

Design and build agentic AI solutions to automate complex enrollment and benefits administration exception handling. You’ll modernize deterministic rule engines by combining DMN/XML rules with probabilistic LLM-driven reasoning, create AI-assisted scenario generation and test automation, and deliver reliable production workflows through MLOps, monitoring, and governance. Work with AI agents orchestration using LangGraph/LangChain and scale decisioning across high-volume transactional environments.

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FursaFursa
Fractal Labs
Fractal Labs
1 month ago

Agentic AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Status: Live

Job Summary

Design and build agentic AI solutions to automate complex enrollment and benefits administration exception handling. You’ll modernize deterministic rule engines by combining DMN/XML rules with probabilistic LLM-driven reasoning, create AI-assisted scenario generation and test automation, and deliver reliable production workflows through MLOps, monitoring, and governance. Work with AI agents orchestration using LangGraph/LangChain and scale decisioning across high-volume transactional environments.
Location: New York
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and develop Agentic AI solutions to automate enrollment change scenarios that currently require manual intervention.
  • •Build AI-powered agents that analyze exceptions, recommend actions, and generate new rule definitions from emerging production scenarios.
  • •Modernize next-generation rule systems by combining deterministic business rules with probabilistic AI reasoning, operationalizing DMN/XML rules.
  • •Develop AI-assisted test case generation frameworks to identify unseen exception paths and accelerate validation and simulation.
  • •Implement MLOps pipelines for deployment, monitoring, and governance, with observability/evaluation frameworks for AI agents and rule engines.

Pay and Benefits

Salary: USD 120,000 - 140,000 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability401kPaid HolidaysParental Leave

Key Requirements

  • •Strong experience in Machine Learning, Generative AI, and Agentic AI systems, including building AI agents.
  • •Expert-level Python development with experience building production-grade applications and APIs, plus testing and CI/CD practices.
  • •Experience with business rule engines and decision management, including DMN (Decision Model and Notation) and XML-based rule representations (PyDMN preferred).
  • •Experience with MLOps: model deployment, monitoring, lifecycle management, and knowledge of containerization/cloud-native architectures.
  • •Experience working with large-scale transactional systems and operational data for scenario classification and exception handling.
Experience:5-10 yearsHealthcareInsuranceBenefits administrationEnrollment platforms
Skills:AnalyticalProblem-solving
Tech Stack:LangGraphLangChainOpenAIAnthropicAzure OpenAIPythonDMNXMLPyDMNMLOpsCI/CDContainerizationCloud-nativeLLMsMachine learningAI agents

Company Brief

Fractal Labs
Provides AI-driven analytics, decision intelligence, and engineering solutions to Fortune 500 companies, helping enterprises apply advanced analytics and machine learning for marketing, supply chain, finance, and customer experience transformation.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: New York, United States
Founded: 2000
WebsiteLinkedIn