Full Stack Developer

Computer Visionaries AI•Dallas, TX

8d•Hybrid

About The Position

The Full Stack Developer is responsible for designing, building, and maintaining web applications and backend services that power CV.AI's client engagements. You will work across the stack, from React and TypeScript frontends to Python and Node.js APIs, relational databases, vector stores, and cloud infrastructure. You will also use AI agents and spec-driven development practices as part of your daily workflow to ship high-quality code at speed. This role contributes directly to CV.AI's agenda of unlocking AI for our clients. You will participate in sprint ceremonies, present technical progress, and collaborate with client stakeholders to refine requirements. You will work in small pods alongside senior engineers and engagement leads, with meaningful ownership of features and deliverables from day one. To meet our client's requirements, this role is only open to U.S. Citizens and permanent residents. Offer for employment may be contingent on a background check.

Requirements

3–5 years of professional software engineering experience in full-stack or backend-heavy roles
Proficiency with at least one modern frontend framework: React, Vue, Angular, or Next.js
Strong backend experience with Node.js, Python (Django/Flask/FastAPI), or Java (Spring Boot)
Solid understanding of relational databases (PostgreSQL, MySQL, SQL Server) and experience writing efficient queries
Experience designing and consuming RESTful APIs in a microservices or service-oriented architecture
Experience using AI coding agents or assistants (such as Cursor, Copilot, Claude Code, or similar) as part of a development workflow
Familiarity with spec-driven or test-driven development practices
Familiarity with Git-based version control workflows including branching strategies, pull requests, and code review
Experience with CI/CD tooling such as GitHub Actions, GitLab CI, Jenkins, or Azure DevOps
Strong written and verbal communication skills, with comfort presenting to non-technical stakeholders
Able to work on a hybrid schedule from our Dallas offices in the Galleria / Addison area
Must be a U.S. citizen or permanent resident

Nice To Haves

Experience with cloud platforms such as AWS, Azure, or GCP, including deployment and infrastructure configuration
Familiarity with containerization tools (Docker, Kubernetes) and infrastructure-as-code practices
Experience with vector databases (Pinecone, Weaviate, pgvector, or Chroma) in production environments
Exposure to agentic frameworks such as LangChain, LlamaIndex, CrewAI, or Model Context Protocol (MCP)
Hands-on experience with computer vision libraries or frameworks (OpenCV, TensorFlow, or similar)
Familiarity with LLM APIs (Anthropic Claude, OpenAI, or equivalent) and prompt engineering patterns
Prior work in a consulting, agency, or client-embedded delivery model
Experience in regulated or compliance-sensitive environments (FedRAMP, SOC 2, HIPAA)
Familiarity with performance monitoring and observability tools (Datadog, New Relic, Grafana)

Responsibilities

Build and evolve full-stack web applications using modern frontend frameworks (React, Next.js, or similar) and backend services (Node.js, Python, or Java)
Design and implement RESTful APIs and service integrations that connect to client enterprise systems, databases, and third-party platforms
Use spec-driven development and test-driven development practices, incorporating AI agents into your workflow to produce reliable, well-documented code
Evaluate and review agent-produced code for quality, security, and alignment with project requirements before it ships
Collaborate with UI/UX designers to translate wireframes and design specs into responsive, accessible interfaces
Configure and maintain CI/CD pipelines for automated testing, builds, and deployments
Participate in code reviews, providing constructive feedback and maintaining team code quality standards
Contribute to technical documentation, architecture decision records, and deployment runbooks
Communicate progress, blockers, and technical decisions clearly in client-facing sprint ceremonies and status updates