Forward-Deployed AI Engineer

Role Overview

We are seeking a Forward-Deployed AI Engineer to act as a client-facing, hands-on consulting engineer driving

end-to-end AI/LLM-enabled solutions. In this role, you will work directly with customers -from initial discovery through prototyping to production deployment- to design and build AI-powered workflows that deliver

measurable business impact. You will collaborate with client and internal teams to integrate advanced GenAI techniques into real-world systems, taking high ownership of outcomes across multiple stakeholders. The role combines hands-on engineering with consultative engagement, high autonomy, and accountability for production outcomes.

Key Responsibilities

Consult & Plan (Discovery & Solutioning)

• Lead discovery workshops to analyze client workflows and identify opportunities for AI integration
• Define AI roadmaps and MVP use cases, including ROI hypotheses, success metrics, and guardrails for

responsible AI usage
- Align early on data availability, security, and compliance requirements
- Document assumptions, trade-offs, and delivery architectures in client-ready formats to support clear

execution
Shape solution options, technical estimates, and delivery dependencies in collaboration with Solution

Engineering and Sales

Build & Deliver (AI/LLM Workflow Engineering)

• Design and implement LLM-enabled workflows (e.g. RAG pipelines, agent orchestration, vector database

integrations, tool use)
- Develop integration layers between LLMs and client systems/APIs using modern languages and

frameworks (e.g. Python, )
- Build production-grade systems with reliability patterns such as logging, fallback mechanisms, and basic

evaluation hooks
- Optimize performance, latency, and cost while adhering to security, privacy, and compliance standards
- Coordinate with client platform and data teams to support infrastructure or integration needs
Create runbooks and operational documentation for smooth handover and self-sufficiency

Enable & Support (Client Empowerment)

• Deliver training to end-users, SMEs, and technical teams on solution functionality, prompts, and

governance
- Provide role-based runbooks, prompt/playbook templates, and quick-start guides for client operations
- Establish feedback loops and usage dashboards to monitor adoption, quality, latency, and cost
Lead post-deployment iterations to optimize AI workflow performance and user satisfaction

Sales Support & Business Development

• Support pre-sales engagements with discovery input, technical solution outlines, and rapid demo

prototypes
- Present AI transformation narratives to client stakeholders, translating engineering concepts into business

value

Leadership & Internal Contribution

• Mentor Gorilla Logic and client engineers in applied AI delivery techniques
• Contribute learnings and reusable assets back into Construct accelerators and internal enablement

materials
Participate in design reviews, estimation sessions, and capability-building initiatives

Required Skills and Experience

• 5–8+ years in software or product engineering roles with direct experience deploying AI/LLM-powered solutions
• Proven expertise in integrating GenAI tools such as OpenAI, Anthropic, Hugging Face, LangChain, and vector databases
• Proficiency in one or more modern programming languages (e.g. Python, TypeScript) and cloud environments (AWS, Azure, GCP)
• Experience building production systems that include APIs, event-driven flows, and containerized deployments (Docker/Kubernetes)
• Strong consulting skills with experience in client-facing workshops, stakeholder engagement, and executive communication
  Track record of driving measurable AI adoption and workflow improvements in real-world environments

Nice to Have

• Experience with AI evaluation harnesses, prompt testing, and guardrails
  Familiarity with AI observability, LLMOps, and responsible AI design principles

Out of Scope

• Custom ML model research or training
• Ownership of heavy MLOps (feature stores, training pipelines, model lifecycle management)