2 hours ago

Base Salary

$240k - $325k/yr

Responsibilities

  • Use AI coding assistants and enterprise software agents to design, build, test, and iterate on production software.
  • Own end-to-end feature and system delivery from requirements through deployment and monitoring.
  • Build and iterate on AI agents, LLM integrations, agent orchestration, evaluation harnesses, and monitoring pipelines.
  • Develop cloud-native microservices, scalable APIs, internal tools, reusable agent patterns, and supporting platform infrastructure.
  • Implement CI/CD pipelines, infrastructure-as-code, containerization, observability tooling, automated tests, benchmarks, and guardrails.
  • Partner with Product, Research, data, platform, security, and architecture teams to translate workflows into technical solutions.
  • Review, validate, debug, and improve AI-generated code for correctness, security, performance, and maintainability.
  • Mentor junior engineers and communicate technical trade-offs and progress to engineering leadership and cross-functional partners.

Requirements

  • At least 8 years of professional software engineering experience.
  • Proficiency using AI coding tools and agents to develop, test, and ship production software.
  • Strong backend, microservice architecture, and distributed systems experience with Python, Node.js, Java, Go, or C#.
  • Experience designing and maintaining RESTful or gRPC APIs.
  • Solid experience with AWS, Azure, or GCP.
  • Experience with PostgreSQL or MySQL and MongoDB or DynamoDB.
  • Working knowledge of Terraform, Docker, Kubernetes, CI/CD, infrastructure-as-code, and containerization.
  • Strong ability to review, validate, and debug AI-generated code and exercise sound engineering judgment.
  • Comfort working with Product Managers and business stakeholders in rapid iteration cycles.
  • Preferred: experience with LLM-enabled systems, AI agents, agent orchestration, AI evaluation frameworks, enterprise AI platforms, Spark, Airflow, dbt, React, Angular, Vue.js, commercial real estate, research, financial services, or cloud-native modernization.

Benefits

  • 401(k) plan with matching company contributions.
  • Comprehensive medical, dental, and vision care.
  • Paid parental leave at 100% of salary.
  • Paid time off and company holidays.
  • Early access to earned wages through Daily Pay.
  • On-site work in New York City.
  • Applications are accepted on an ongoing basis until a candidate is identified.

Tech Stack

Jones Lang LaSalle Incorporated

About Jones Lang LaSalle Incorporated

10,000+ employees
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