AI Engineer – Full-Stack

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $65k - $85k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Gruve

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2024

🤖 Artificial Intelligence

🔒 Cybersecurity

🏢 Enterprise

Artificial Intelligence • Cybersecurity • Enterprise

Gruve is an enterprise technology company that designs, builds, and operates AI-ready data center networks and delivers AI-driven solutions for businesses. The company provides Enterprise AI services (including LLM and advanced analytics deployments), AI infrastructure and GPU-rich compute environments, network automation, cybersecurity advisory and managed security services, and workload migration and platform modernization. Gruve positions itself as a provider of AI teammates, customer experience automation, and applied data strategy to help large organizations adopt and scale AI securely.

📋 Description

• Work directly with business stakeholders to map workflows, pain points, and current-process costs • Benchmark industry standards, regulations, and best practices using AI research tools • Define problems, scope, success measures, and delivery dates; push back when scope does not fit the timeline • Build and demo working proofs of concept within the first couple of days • Iterate live with users and decide whether to pivot, phase, or stop • Develop full-stack web apps, AI agents, workflow automations, integrations, and data pipelines • Write specifications and prompts, break work into AI-executable tasks, run parallel agents, and review and correct output • Use AI to generate tests, review code, find bugs, and produce documentation • Build reusable prompts, skills, templates, and components • Prepare information security, data privacy, and legal documentation • Manage change requests through the change control process • Deploy to enterprise cloud environments with SSO, role-based access, logging, monitoring, and cost controls • Train users, produce user and support guides, and obtain business sign-off • Run several projects concurrently on staggered timelines with fixed completion targets • Track work daily and raise risks and blockers promptly

🎯 Requirements

• Expert daily use of AI coding tools (Claude Code, Cursor, Copilot or similar), including agentic, multi-file and multi-step development • Prompt and context engineering: system prompts, structured outputs, few-shot design, managing the context window • LLM application patterns: RAG, tool use/function calling, agents and multi-agent orchestration, MCP servers and connectors • Evaluation and guardrails: test sets, output validation, hallucination checks, prompt injection and data-leakage defences, human-in-the-loop design • Working knowledge of model selection, latency, token cost and rate-limit trade-offs across major LLM APIs • Document and data AI experience • React/TypeScript or similar, responsive UI, and component libraries • Python with FastAPI/Flask and/or Node.js, REST/GraphQL APIs, async and background jobs • SQL and NoSQL databases, data modelling, ETL, basic analytics and reporting • Enterprise APIs, webhooks, OAuth, and platforms such as Microsoft 365/SharePoint, Salesforce, SAP and ServiceNow • Workflow automation with Power Automate, Logic Apps, n8n or similar • Cloud deployment on Azure, AWS or GCP; App Services, Docker, and serverless functions • Git, CI/CD pipelines, environment management, and secrets management • SSO, Entra ID/Azure AD, OAuth2/OIDC, and role-based access • Secure coding practices, OWASP awareness, and handling sensitive and personal data • Logging, monitoring and alerting for production support • Track record of hitting fixed deadlines with multiple projects running at once • Strong scoping and prioritisation • Clear communication with non-technical stakeholders • Experience taking solutions through enterprise security, privacy, legal and change management processes • Independent, ownership-driven style • 3+ years building and shipping full-stack applications to production • Portfolio or examples of AI-built solutions delivered end to end, including timelines and outcomes • At least one LLM-powered application or agent in production use • U.S. citizenship required; Gruve cannot provide sponsorship • Preferred: previous FDE, solutions engineering, technical consulting or internal-tools experience • Preferred: experience in a regulated industry and familiarity with GDPR, ISO 27001, SOC 2 or GxP • Preferred: experience building internal AI platforms, shared skill libraries or reusable agent frameworks • Preferred: Python data tooling and basic ML familiarity

🏖️ Benefits

• Dynamic environment with strong customer and partner networks • Culture of innovation, collaboration, and continuous learning • Diverse and inclusive workplace • Equal opportunity employment