Location: Remote (USA)
Contract: 12 months | Start: March
Rate: $70–90/hour
The Role
We’re seeking a Forward Deployed AI Engineer to design, prototype, and deploy real-world generative AI solutions in close partnership with customers, product, and engineering teams. You’ll work hands-on across the full stack - rapidly turning AI capabilities into production-ready applications and scalable patterns.
What You’ll Do
- Partner with Customer Success, AI, and Product teams to define GenAI use cases
- Lead technical workshops and rapidly prototype AI-powered solutions
- Design, build, and deploy full-stack applications and microservices
- Build custom AI agents, workflows, and multimodal content generation (text, image, video)
- Integrate AI solutions with customer systems (CMS, DAM, marketing automation, analytics)
- Develop integrations with platforms like Google Workspace, Salesforce, and Adobe Experience Cloud
- Create demos and proof-of-concepts to drive stakeholder buy-in
- Feed real-world use cases back into Product to inform roadmap and feature development
- Build reusable components, CI/CD pipelines, and scalable, enterprise-ready architectures
What You Bring
Full-Stack Engineering
- 3+ years building and shipping production software
- Frontend: React, Next.js, Angular, or Vue
- Backend: Node.js, Python (FastAPI, Flask, Django), or Java (Spring Boot)
- APIs: REST, GraphQL, WebSockets
Generative AI
- Hands-on experience with LLMs (GPT-4 class models, Claude, Llama, Gemini, Mistral)
- Experience with RAG, vector databases (Pinecone, Weaviate, Chroma, FAISS), and embeddings
- Prompt engineering, fine-tuning, and agent frameworks (LangChain, LlamaIndex, AutoGen, etc.)
- Understanding of AI safety, hallucination mitigation, and governance
Cloud & DevOps
- Experience with AWS, Azure, and/or GCP
- Docker, Kubernetes, serverless architectures
- CI/CD, Infrastructure as Code, monitoring, and security best practices
Ways of Working
- Strong customer-facing and communication skills
- Comfortable operating in fast-paced, startup-like environments
- High ownership mindset and ability to work autonomously
Nice to Have
- Experience in AI, MarTech, AdTech, or creative technology
- Prior forward-deployed or solutions engineering experience
- Familiarity with creative platforms and content workflows (e.g., Typeface, CMS/DAM, marketing automation)
- Open-source contributions or public writing on AI
