Top Entry Level Artificial Intelligence Software Engineer Jobs

Leads the architecture and development of customer-facing SDKs, APIs, CLI tools, examples, documentation, developer workflows, and portal integrations for an AI SoC platform. Partners across AI, multimedia, robotics, tools, release, and SQA teams to deliver reliable installation, deployment, compatibility, and release experiences. The role also hires, mentors, and leads engineers focused on developer tools, documentation systems, APIs, and sample applications.

Own enterprise customer onboardings from signed agreement through stable production launch. Integrate ERP and CRM systems, clean and reconcile messy financial data, ship production TypeScript integrations, improve AI agent prompts and evaluations, and convert customer learnings into product improvements and scalable onboarding playbooks. The role combines software development, customer-facing technical ownership, and building the company’s forward-deployed engineering function.

Own post-launch bugs, production issues, and enhancements for AI agents and related products. Investigate root causes across logs, code, conversation data, APIs, authentication, telephony, and integrations; implement and test fixes; support customers directly; guide frontline Support Engineers; and build internal tools that improve investigation and resolution speed.

Owns day-to-day database operations and backup/recovery for a large multi-account AWS environment. Maintains RDS, Aurora, and self-managed databases, validates backup restoration, executes disaster-recovery runbooks, and collaborates with infrastructure, security, Kubernetes, networking, and cloud architecture teams. Supports escalations from a 24x7 monitoring team and helps advance managed services and Cloud Center of Excellence capabilities.

Own developer productivity across a large monorepo and the path to production. Improve build, test, deployment, and coverage workflows; enable teams to ship safely and quickly; support multi-cloud and multi-region expansion; and strengthen operational excellence. The role requires delivering framework-level improvements across teams while contributing to backend feature code and working directly with customers on complex scaling challenges.

Build and improve a high-performance frontend for legal document review, including document viewing, search, annotations, citation navigation, and AI result verification. Partner with backend and AI engineers through REST APIs, support a scalable component system, and ensure accessibility, performance, consistency, and secure handling of sensitive browser data.

Manages software engineering teams and cross-functional technical work, including goal setting, project planning, system design, vendor management, risk and compliance, audit requirements, reporting, application stability, budgeting, and staff development. Advises on system enhancements, coordinates with business partners and vendors, supports automation initiatives, and ensures timely delivery of technically complex projects and services.

General application for future opportunities at a remote open-source consulting company. Potential work includes software engineering, scientific computing, AI/ML, data engineering, DevOps, developer tooling, frontend development, technical writing, design, and community engagement. Quansight welcomes professional, research, educational, personal-project, and open-source experience, including early-career and internship interest.

Build and deploy full-stack software for military logistics customers. Own features from concept through deployment, integrate with existing systems, improve reliability and performance, collaborate across engineering and product teams, and work directly with end users. The role involves customer-facing engineering, operational problem solving, cloud and edge deployments, and approximately 25% travel for deployments, field testing, and support.

Own products end to end, from customer discovery and problem definition through design, implementation, launch, and iteration. Build polished frontend experiences, APIs, backend services, data models, infrastructure, and developer tools for AgentMail Studio. Improve onboarding, SDKs, documentation, debugging, and console experiences while engaging directly with customers and shaping product engineering culture.