Software Engineer, AI Engineer (Applied​/Software), Cloud Engineer - Software

Locations: Chicago, IL | Dallas, TX || NYC

Employment Type: Full-Time

Interview
- Video

Salary Range
- $180 to 230k/Annum

About the Opportunit

yWe're hiring an experienced Staff Software Enginee
r to lead the design and development of highly scalable enterprise applications while driving the adoption of modern AI technologies across engineering teams. This is a hands-on technical leadership role for someone who enjoys solving complex architectural challenges, mentoring engineers, and influencing technology strategy

.If you have a strong background in full-stack engineering, cloud-native architecture, distributed systems, and AI-powered software development, we'd love to connect with you

.What You'll D

• oLead the architecture and development of enterprise-scale full-stack applications
• .Design scalable backend services, APIs, and modern web applications
• .Build and integrate AI-powered solutions, including intelligent automation, AI copilots, and LLM-based workflows
• .Drive engineering best practices for architecture, code quality, testing, security, and deployment
• .Collaborate with Product, Engineering, and Business stakeholders to translate business objectives into technical solutions
• .Improve application performance, reliability, scalability, and system resilience
• .Mentor engineering teams and provide technical leadership across multiple projects
• .Evaluate and introduce modern development frameworks, cloud technologies, and AI engineering tools
• .Champion innovation by exploring emerging technologies and applying them where they create business value

.Required Qualification

• sBachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline
• .12+ years of professional software engineering experience
• .Backend development experience with technologies such as C#, Node.js, Java, or similar object-oriented languages
• .Solid understanding of distributed systems, microservices, RESTful APIs, and scalable application architecture
• .Experience working with public cloud platforms including Azure, AWS, or Google Cloud
• .Hands-on experience developing or integrating Generative AI solutions using Large Language Models (LLMs), AI orchestration frameworks, or autonomous AI workflows
• .Strong knowledge of SQL and No
  
  SQL databases
• .Experience with CI/CD pipelines, Dev Ops practices, Infrastructure as Code, and modern software delivery methodologies
• .Proven ability to lead technical initiatives and mentor engineering teams

.Preferred Experienc

• eMulti-agent AI architectures and orchestration frameworks
• .Retrieval-Augmented Generation (RAG) implementations
• .Event-driven systems and real-time streaming technologies
• .Docker and Kubernetes
• .Experience supporting enterprise platforms within commercial real estate, financial services, or other large-scale business environments
• .Contributions to technical communities, open-source projects, conferences, or engineering publications

.Why Consider This Opportunity

• ?
  
  Influence the architecture of mission-critical enterprise platforms
• .Work on next-generation AI and cloud technologies
• .Collaborate with highly skilled engineering teams
• .Strong career growth and leadership opportunities
• .Competitive compensation and comprehensive benefits
• .Hybrid work flexibility and excellent work-life balance