Forward Deployment Engineer

What You'll Do 

As a Forward Deployment Engineer, you will translate complex business needs into scalable technical architectures, rapidly prototype AI-driven applications, and integrate Typeface’s platform across customer ecosystems. You’ll combine full-stack engineering expertise with hands-on GenAI experience—building custom agents, workflows, and reusable components—while driving customer transformations through fast experimentation and iterative delivery. 

How You’ll Make Impact  

• Partner with Customer Success Managers, AI Engagement Managers, and Product teams to define customer requirements, facilitate technical workshops, and co-create GenAI solutions 
• Apply an AI-first experimentation mindset—build proof points in days, iterate on feedback, and demonstrate quick wins that build momentum for transformations 
• Design, build, and deploy full-stack applications and microservices integrating Typeface API/SDK, Brand Hub, Arc Agents, and multimodal content generation 
• Build custom agents and workflows tailored to specific customer use cases 
• Develop integrations with customer systems (CMS, DAM, marketing automation, analytics) and platforms like Google Workspace, Salesforce, Adobe Experience Cloud, and Campaign Manager 360 
• Capture field-proven use cases and funnel them back to Product and Engineering teams to inform the Typeface platform roadmap 
• Identify patterns and opportunities for productization of custom solutions while championing customer needs in internal product discussions 
• Develop reusable components, templates, and patterns deployable across customers with CI/CD pipelines and governance checks 
• Create automated testing frameworks for brand compliance, content safety, and quality assurance while designing scalable architectures for enterprise-grade volumes 
• Own delivery sprints from requirements through deployment, tackling challenges on-site or remotely while balancing multiple customer engagements 
• Document playbooks, prompts, patterns, and best practices in internal knowledge bases and create technical guides for common use cases 
• Share learnings across the organization, mentor other engineers, and present technical demos and case studies at customer events 

What You’ll Bring 

• 3+ years as a full-stack developer or technical consultant with strong proficiency in React.js/Next.js/Angular, Node.js/Python/Java Spring Boot, REST/GraphQL APIs, and track record shipping production applications 
• Extensive hands-on experience with LLMs (GPT-4, Claude, Llama, Gemini), diffusion models (Stable Diffusion, DALL·E), and multimodal AI for text, images, video, and audio 
• Deep expertise in RAG pipelines, vector databases (Pinecone, Weaviate, FAISS), semantic search, and AI agent frameworks (LangChain, LlamaIndex, AutoGen) 
• Proficiency with prompt engineering, fine-tuning, model optimization, and understanding of LLM capabilities, limitations, and hallucination mitigation strategies 
• Cloud expertise across AWS (EC2, S3, Lambda, SageMaker, Bedrock), Azure (OpenAI Service, Cognitive Services), and Google Cloud (Vertex AI, BigQuery) 
• Strong DevOps skills including Docker, Kubernetes, CI/CD (GitLab, GitHub Actions), Infrastructure as Code (Terraform, CloudFormation), and monitoring tools 
• Understanding of OAuth, JWT, API security, data encryption, and compliance requirements (SOC2, GDPR) 
• Experience with content management systems, digital asset management platforms, marketing automation tools, and creative workflows 
• Outstanding customer-centricity with ability to build trust quickly with enterprise technical teams and stakeholders 
• Exceptional communication skills to translate complex AI concepts for both engineers and executives, present solutions clearly, and write comprehensive technical documentation 
• Startup DNA: thrives in fast-paced, ambiguous environments with high ownership mentality, comfortable wearing multiple hats and tackling problems outside core expertise