F

Forward Deployed Engineer

fullstack • Greater Rio De Janeiro
Remote
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Embed with enterprise clients to discover, architect, build, and ship AI-powered agentic systems that deliver real production value. Lead consultative discovery, design end-to-end AI solutions, and own hands-on engineering from prototype through CI/CD deployment. Requires 5+ years software development and 1-4 years building LLM-powered and agentic AI systems in production.

Key Highlights
Three-way role combining consulting, operations, and hands-on engineering for Fortune 500 and regulated industry clients
Embed directly inside client teams to discover problems, architect solutions, and ship production AI systems
Own end-to-end delivery including discovery, architecture, building, CI/CD, and executive stakeholder presentations
Work with frontier AI developer tools (Cursor, Claude Code, Gemini CLI, OpenAI Codex) in a 100% remote setting
Key Responsibilities
Lead consultative discovery with business and engineering stakeholders to uncover business drivers, personal drivers, and constraints
Reframe AI requests as hypotheses and decompose problems from outcome through constraints before choosing technology
Design agentic systems end to end including orchestration, context and retrieval architecture, tool and MCP integration, and guardrails
Build and ship working systems including agents, multi-step automations, internal tooling, and integration layers
Own CI/CD for built systems including build, test, release, environments, and deployment processes
Present to and defend technical decisions in front of CTOs, VPs of Engineering, and business leadership
Support pre-sales scoping and proposal work when needed
Map current-state processes, decision points, and exceptions into specifications both people and AI systems can execute against
Technical Skills Required
Software Development LLM and Agentic AI Systems CI/CD Pipelines
Benefits & Perks
Competitive pay
100% remote work
Continuing education opportunities
Opportunity to grow and expand career
Diverse, inclusive, and accessible environment
Nice to Have
Production AI operations experience including eval harnesses, observability and tracing, cost and token economics, and debugging non-deterministic systems
Prompt- and eval-level regression testing running in CI and gating releases
Experience delivering in regulated environments such as financial services, healthcare, insurance, or manufacturing
Pre-sales support experience including discovery calls, SOW and estimate shaping, and technical proposal defense
Process mining, operations analysis, or transformation consulting background
Client enablement and training experience
Prior consulting or agency environment experience with comfort in ambiguity and multiple accounts

Job Description

FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.
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