AI Engineer – Full-Stack

Gruve

. Work directly with business stakeholders to map workflows, pain points, and current-process costs .

Posted 10/7/2026full-timeRemote • United StatesMid-LevelSenior💰 $65,000 - $85,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerETLFlaskGoogle Cloud PlatformGraphQLJavaScriptNode.jsNoSQLPythonReactServiceNowSQLTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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