Forward Deployment Engineer

November 21

Apply Now

Receive Emails with Similar Jobs

Typeface

WebsiteLinkedInAll Job Openings

Typeface is the generative AI application to supercharge personalized content creation for businesses. By uniting content velocity with brand personalization and control, any enterprise can now create exceptional, on-brand content faster and easier than ever before.

11 - 50 employees

💰 $100M Series B on 2023-06

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Competitive compensation — including salary, equity, and 401(k) • Full medical, dental, and vision insurance for you and your family • HSA and FSA options to support your financial wellness • Flexible time off — including parental leave • Well-being programs — resources to support your mental and physical health • Daily lunch & snacks • Mentorship & impact — work closely with top AI leaders on products that ship