Friendliai
Software Engineer – AI Agents
San Francisco
Sponsorship not specifiedDetected 98 days ago
PythonKubernetesAPI DevelopmentMachine LearningLLMsRAGAgentic AICustomer Support
About the role
- We power high-throughput, low-latency AI workloads for organizations worldwide and integrate directly with Hugging Face, giving developers instant access to over 500,000 open-source models.
Responsibilities
- Design, build, and maintain agent APIs and applications that deliver document understanding and other high-value features
- Develop reference agent applications to showcase workflows and accelerate customer adoption
- Collaborate with backend and infrastructure teams to integrate agents with deployment, orchestration, and monitoring systems
- Ensure APIs are robust, developer-friendly, and enterprise-ready through strong design principles and documentation
- In this role, you will develop not only the agent components themselves, but also the Friendli Agent API, which serves as the core developer interface for building and extending agent applications.
- You will also build agent applications as production-ready examples of how agents can solve real-world problems.
- FriendliAI is building the world's best AI inference platform that makes large language and multi-modal models fast, efficient, and deployable at scale.
- With our world-class inference engine, we are building a platform that the AI industry can actually rely on.
Requirements
- 3+ years of experience in software engineering, preferably in backend, ML systems, or API development
- Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent
- experience with various Python frameworks
- Experience designing and delivering production APIs
- Familiarity with open-source LLMs and multimodal models (HuggingFace, LangChain, LlamaIndex, etc.)
- The ideal candidate is comfortable creating agent applications that showcase what is possible, is curious about and experienced with open-source models, and enjoys turning them into reliable, high-impact features.
- Strong programming skills in Python; experience with various Python frameworks
- Solid understanding of LLM workflows, agent patterns, or tool invocation systems
- Strong foundations in cloud-native development
Nice to have
- Experience with document understanding pipelines (e.g., OCR, RAG, summarization, structured extraction)
- Familiarity with Kubernetes or container orchestration in production
- Built or contributed to agent frameworks, SDKs, or CLIs
- Have worked in a startup or fast-paced environments with ownership and ambiguity
- Passion for developer experience and enabling AI adoption
Compensation
- Competitive compensation, startup equity, health insurance, and other benefits.
Benefits
- Flexible working hours
- Health check-up support and top-tier equipment/hardware support
- Competitive compensation, startup equity, health insurance, and other benefits.
Company info
- We are a small, fast-moving team doing work that matters at one of the most exciting moments in the history of technology.
- We're seeking an Agent Engineer to design and build agentic features in our platform, including document understanding, advanced RAG, and customer support automation.
- These applications will be primarily written in Python and will serve as reference implementations for our customers and community.
- We are looking for a hands-on engineer who is passionate about building agent systems and making AI easy for developers to adopt.
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This listing is sourced directly from Friendliai's careers page and normalized into a canonical job model.