Solutions Architect - AI Model Specialist

Responsibilities

• Design and implement AI-powered products using FriendliAI’s APIs
• Guide customers on selecting, evaluating, and operating AI models across different domains
• Integrate and extend open-source frameworks for FriendliAI integration
• Build and deploy custom inference endpoints, chat flows, and multi-agent orchestration pipelines
• Develop SDKs, example applications, and reference APIs for agentic and generative AI use cases
• Provide deep technical guidance on prompt engineering, API composition, and workflow orchestration
• Debug and optimize context and memory across long-running agent sessions
• Gather customer feedback and translate it into product-level improvements
• Lead technical demos, developer workshops, or webinars

Requirements

• 3+ years of software engineering experience, ideally in backend or API development
• Proficient in Python and modern web frameworks (FastAPI, Flask, or similar)
• Strong experience deploying LLMs and integrating into generative AI APIs
• Familiarity with agentic AI frameworks (LangChain, CrewAI, AutoGen, etc.)
• Strong experience in integrating open-source generative AI models into applications
• Excellent communication and problem-solving skills

Preferred Qualifications

• Contributions to open-source AI libraries or projects
• Familiarity with multi-agent orchestration, memory systems, RAG, and workflow DAGs
• Experience with serverless backends or API gateways

Benefits

• Competitive compensation and benefits package
• Daily lunch and dinner provided; unlimited snacks and beverages
• Health check-up and top-tier hardware support
• Flexible working hours and a highly collaborative environment

About the Company

FriendliAI is building the next-generation AI inference platform that accelerates the deployment of large language and multimodal models with unmatched performance and efficiency. Our infrastructure powers high-throughput, low-latency workloads for global organizations and integrates directly with Hugging Face.