AI Engineer – Full-Stack (Forward Deployed)

Gruve

13h • $65,000 - $85,000 • Onsite

About The Position

Gruve is seeking a hands-on, AI-native full-stack engineer for a Forward Deployed Engineer (FDE) role. This individual will work directly with business teams, owning solutions end-to-end from initial concept to production deployment. The role involves taking business problems, designing and building solutions using AI tools like Claude, Claude Code, agents, and MCP, and delivering them against fixed, short deadlines. The FDE model emphasizes being embedded with the business, close to users, and accountable for both the outcome and the delivery date. The engineer will leverage AI for rapid prototyping, full-stack development (web apps, AI agents, automations, data pipelines), testing, documentation, and production release, aiming for a pace that traditional development cannot match without compromising quality.

Requirements

• AI engineering expertise, including expert daily use of AI coding tools (Claude Code, Cursor, Copilot or similar) for agentic, multi-file, and multi-step development.
• Proficiency in prompt and context engineering, including system prompts, structured outputs, few-shot design, and managing context windows.
• Understanding of LLM application patterns such as RAG (chunking, embeddings, vector stores, retrieval tuning), tool use/function calling, agents and multi-agent orchestration, and MCP servers and connectors.
• Knowledge of evaluation and guardrails, including test sets, output validation, hallucination checks, prompt injection and data-leakage defenses, and human-in-the-loop design.
• Working knowledge of model selection, latency, token cost, and rate-limit trade-offs across major LLM APIs (Anthropic, OpenAI, Azure OpenAI or similar).
• Experience with document and data AI, including extraction from PDFs, emails, spreadsheets, and scanned forms; classification; and summarization.
• Full-stack engineering skills: Front end (React/TypeScript or similar, responsive UI, component libraries), Back end (Python with FastAPI/Flask and/or Node.js, REST/GraphQL APIs, async and background jobs), and Data (SQL and NoSQL databases, data modeling, ETL, basic analytics and reporting).
• Experience with integrations, including enterprise APIs, webhooks, OAuth, and platforms like Microsoft 365/SharePoint, Salesforce, SAP, and ServiceNow.
• Familiarity with workflow automation tools (Power Automate, Logic Apps, n8n or similar) and knowing when code is more appropriate than low-code solutions.
• Cloud deployment experience on Azure (preferred), AWS, or GCP, including App Services, containers (Docker), and serverless functions.
• DevOps skills: Git, CI/CD pipelines, environment management, and secrets management.
• Knowledge of authentication and authorization: SSO, Entra ID/Azure AD, OAuth2/OIDC, and role-based access.
• Understanding of secure coding practices, OWASP awareness, and handling sensitive and personal data.
• Experience with logging, monitoring, and alerting for production support.
• A track record of hitting fixed deadlines with multiple projects running concurrently.
• Strong scoping and prioritization skills, with the ability to define a minimum viable release and phase subsequent features.
• Clear communication skills with non-technical stakeholders, including delivering demos, providing status updates, and managing expectations.
• Experience navigating enterprise security, privacy, legal, and change management processes.
• An independent, ownership-driven work style, comfortable being solely accountable for solutions and deadlines.
• 3+ years of experience building and shipping full-stack applications to production.
• A 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.

Nice To Haves

• Previous Forward Deployed Engineer (FDE), solutions engineering, technical consulting, or internal-tools experience.
• Experience in a regulated industry (e.g., healthcare, life sciences, manufacturing, finance) and familiarity with frameworks such as GDPR, ISO 27001, SOC 2, or GxP.
• Experience building internal AI platforms, shared skill libraries, or reusable agent frameworks.
• Proficiency with Python data tooling (pandas, notebooks) and basic machine learning familiarity.

Responsibilities

• Work directly with business stakeholders to map workflows, identify pain points, and quantify the cost of current processes.
• Utilize AI research tools to benchmark industry standards, regulations, and best practices for specific processes.
• Transform unclear requests into defined problems, scope, success measures, and delivery dates, pushing back on scope creep that doesn't fit timelines.
• Build and demo a working Proof of Concept (POC) within the first few days, using AI for scaffolding, UI, data models, and integrations.
• Iterate live with users on POCs and make quick decisions on pivoting, phasing, or stopping development.
• Develop full-stack solutions including web apps, AI agents, multi-step workflow automations, integrations, and data pipelines.
• Execute AI-driven development workflows, including writing precise specs and prompts, breaking down work for AI execution, running parallel agents, and steering/correcting AI output.
• Use AI to generate various types of tests (unit, integration, end-to-end), review code, identify bugs, and produce documentation to maintain quality alongside speed.
• Build reusable prompts, skills, templates, and components to accelerate future projects.
• Prepare necessary documentation for information security, data privacy, and legal compliance, with AI-assisted drafting expected, and manage the review process.
• Raise and manage change requests through the established change control process, planning around review lead times to ensure release dates are met.
• Deploy solutions to enterprise cloud environments, ensuring proper setup of SSO, role-based access, logging, monitoring, and cost controls.
• Train users, create concise user and support guides, and obtain business sign-off.
• Manage multiple projects simultaneously on staggered timelines with fixed completion targets.
• Track work daily and proactively raise risks and blockers as they arise, not at the deadline.

Benefits

• Culture of innovation, collaboration, and continuous learning.
• Commitment to building a diverse and inclusive workplace.
• Opportunity to make an impact with technology.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed