Solution Architect - AI Model Specialist

주요업무

About the job FriendliAI is seeking a Solution Architect specializing in open-source AI models, AI inference API integration, and agentic systems. You will work closely with our customers to integrate FriendliAI’s inference and agent frameworks into real-world products, enabling them to build and scale AI applications effectively. You will work directly on our customers’ projects, collaborating with their engineering teams to solve challenges in integrating tools, environments, and models with AI agents. This is a hands-on, customer-embedded role. Key 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

자격요건

Qualifications 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 skills and a passion for improving developer experience Excellent problem-solving and debugging skills in real-world environments

우대사항

Preferred Experience 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

기술스택

Python, FastAPI, Flask, Langchain

채용절차

서류 전형 → 1 차 인터뷰 → 2 차 인터뷰 → 컬처핏 인터뷰 → 최종 합격 근무 형태: 정규직 근무 환경: 유연한 원격 근무 및 필요시 오피스 출근을 병행하는 하이브리드 근무 Aggressive Compensation: 업계 최고 수준의 기본급과 성과에 따른 상한선 없는(Uncapped) 파격적인 커미션 구조 제공 Stock Option: 회사의 성장과 함께 자산 증식이 가능한 스톡옵션 부여 채용 절차는 상황에 따라 일부 변경될 수 있습니다