Software Engineer

RouteSmart Technologies Inc•Columbia, MD

6d•$95,000 - $145,000•Hybrid

About The Position

RouteSmart Technologies, a leader in vehicle route optimization software technology, is seeking a Software Engineer to join our development team. This role will report directly to the Manager, Software Engineering and is responsible for designing, developing, and supporting modern, scalable applications and services as part of a next-generation platform initiative. This position will play a key role in building a new generation of software that redefines how we design, develop, and deliver products. Unlike incremental upgrades, this initiative focuses on creating something entirely new using a Spec-Driven Development (SDD) approach powered by Large Language Models (LLMs). The role involves contributing to AI-assisted engineering workflows, building cloud-native systems, and helping shape the future of software development at RouteSmart. The Software Engineer will work in an exploratory, fast-evolving environment where not all requirements are fully defined. Success in this role requires curiosity, adaptability, and a willingness to experiment with new tools, frameworks, and methodologies. Responsibilities include developing high-quality code, collaborating across teams, and contributing to the definition of new engineering standards. Experience with cloud-native technologies (Linux, Docker, Terraform) and modern development practices is highly valued. The ideal candidate is passionate about innovation and thrives in solving complex, ambiguous problems. They will contribute to delivering reliable, high-quality solutions while helping drive forward RouteSmart’s next generation of technology. Strong technical skills, attention to detail, and the ability to collaborate effectively within a dynamic team environment are essential.

Requirements

Solid understanding of microservices architecture, API design, and distributed systems fundamentals.
Technology Experience (At least one area): Web: React or Angular (TypeScript/JavaScript)
Backend: Python, Node.js, Java, .NET, Go, or Rust
Hands-on experience with Docker, modern CI/CD pipelines, and Infrastructure-as-Code (Terraform preferred) in AWS, Azure, or GCP.
Practical experience with (or a strong personal interest in) Generative AI/LLMs and prompt engineering concepts. An understanding of AI limitations is a major plus.
Ability to collaborate effectively within a team environment
Familiarity with modern development practices and automation
Curiosity and a growth mindset
Adaptability in ambiguous situations
Willingness to experiment with new tools, frameworks, and methodologies
Bachelor’s degree in Computer Science, Information Systems, Business Technology, or a related field
All candidates must have legal authorization to permanently live and work in the United States.
This position does not qualify for sponsorship.

Nice To Haves

Mobile (Preferred): Swift or Kotlin

Responsibilities

Orchestrate AI across the SDLC by utilizing LLM co-pilots during design, coding, testing, debugging, and optimization
Convert product requirements into structured specifications that drive deterministic system behavior
Partner with AI tools to generate APIs, services, and workflows directly from written specifications
Refine prompts and development workflows to ensure consistent, high-quality, and secure code outputs
Design clean, modular, and composable microservice architectures using best-fit technologies
Use AI to rapidly understand, extend, and refactor systems across diverse technology stacks, including: Rust / Go for performance-critical backend services, Python / Node.js for orchestration and rapid iteration, Java / .NET for enterprise-grade workloads, React / Angular (TypeScript) for web applications, Swift / Kotlin for mobile applications
Integrate AI capabilities into systems for real-time decisioning, automation, and unstructured data processing
Design and operate resilient, cloud-agnostic infrastructure (initially AWS) using Docker and Terraform
Build and manage modern CI/CD pipelines to enable safe and frequent delivery
Ensure systems are secure, observable, scalable, and cost-efficient
Review and validate AI-generated code to prevent security vulnerabilities (OWASP Top 10) and performance issues
Integrate automated, AI-driven validation checks into build and deployment pipelines
Perform ongoing threat modeling across distributed, multi-language systems
Serve as the final human validator for AI-driven architectural and logical decisions
Identify and mitigate risks such as model bias, hallucinations, or incorrect outputs
Ensure data privacy and compliance with organizational security standards
Research and evaluate emerging coding and AI standards to improve security, quality, and performance
Perform other duties and responsibilities as assigned