We are seeking a highly skilled Sr. Software Engineer – Full Stack who thrives in an AI-first, agent-driven software engineering environment. Our team uses AI coding agents, IDE-integrated Model Context Protocol (MCP) servers, and agentic workflows to design, build, test, and maintain production-grade software. The ideal candidate combines strong engineering fundamentals with practical AI-assisted development and takes full ownership of architecture, quality, security, and reliability. This is an opportunity to work directly with a Silicon Valley product startup building scalable SaaS products for construction technology.
Responsibilities
• Collaborate with Product Managers and stakeholders to translate requirements into scalable technical solutions.
• Design and deliver full-stack applications using Golang backend services, modern React-based frontends, APIs, and databases; contribute to Ruby on Rails applications where needed.
• Use AI coding agents as a primary development workflow for implementation, refactoring, debugging, testing, and documentation.
• Use IDE-integrated MCP servers to provide agents with relevant context and controlled access to engineering tools and systems.
• Decompose requirements into agent-executable tasks with clear context, constraints, acceptance criteria, and verification steps.
• Critically review AI-generated code for correctness, maintainability, architecture, security, and performance; independently resolve failures.
• Design RESTful integrations, microservices, distributed systems, and event-driven or serverless components.
• Build and operate cloud-native services on AWS using appropriate services such as Lambda, S3, API Gateway, CloudWatch, RDS, and container platforms.
• Contribute to Docker-based deployment, CI/CD pipelines, infrastructure practices, production troubleshooting, and observability.
• Participate in design reviews, mentor engineers, and continuously improve agent-driven development standards and delivery quality.
Required Skills & Experience
Must Have — Software Engineering
• Strong hands-on Golang experience and solid full-stack development skills with React, JavaScript/TypeScript, HTML, and CSS (or comparable modern frontend frameworks).
• Strong command of OOP, design patterns, RESTful APIs, distributed systems, microservices, and system design trade-offs.
• Experience with relational databases such as PostgreSQL and familiarity with NoSQL databases such as MongoDB.
• Experience with Docker, CI/CD (such as GitHub Actions, Jenkins, or CircleCI), debugging, automated testing, and code reviews.
• Ability to work independently, communicate clearly, collaborate across functions, and mentor junior engineers.
Must Have — AI-Driven Development & Agentic Engineering
• Practical, regular use of AI coding agents (for example, Claude Code, Cursor, GitHub Copilot, or equivalent) to deliver working software.
• Experience with IDE-integrated MCP servers or comparable agent-tool integrations for accessing relevant development context and tools.
• Ability to create effective agent instructions, manage context, set constraints, and break complex work into verifiable tasks.
• Experience with agentic planning, implementation, iterative refinement, test generation, and validation workflows.
• Ability to inspect, debug, test, and secure AI-generated code rather than accepting outputs without independent verification.
• Strong engineering judgment and ownership of production outcomes regardless of how the code was produced.
Good to Have
• Hands-on Ruby on Rails and/or Node.js development experience.
• Experience with AWS services including Lambda, ECS, API Gateway, S3, CloudWatch, IAM, and RDS; exposure to Kubernetes or Amazon EKS.
• Experience configuring or building custom MCP servers, reusable agent instructions, and automated agent workflows.
• Familiarity with multi-agent orchestration and integrations with GitHub, Jira, documentation, or other developer systems.
• Knowledge of agent tool permissions, data protection, secure execution boundaries, and AI-assisted engineering productivity measurement.
• Exposure to Elasticsearch, analytics platforms, or AI/ML-enabled applications; familiarity with Kanban or other Agile delivery practices.
Education
Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related field.
About vConstruct
vConstruct specializes in providing high-quality Building Information Modeling (BIM), Lean Construction, Integrated Project Delivery, and Software Solutions for global construction projects. vConstruct is a wholly owned subsidiary of DPR Construction, USA.
About VueOps
VueOps is a US-based startup focused on capital project data management and intelligent information extraction for facility management systems.
