Artificial Intelligence Engineer

About us:

SMBs deserve the same AI-native tools that power the world’s leading enterprises. That’s why we’re building HiOctave (HiO) - to make that vision real.

We’re building an agentic AI for customer experience: systems that think, act, and collaborate with humans. HiOctave gives SMBs enterprise-grade automation and personalization tools that actually scale.

We’re a well-founded, early-stage team, backed by leading VCs and built by experts in SMB, AI, CX, and product-led growth.

About the Role:

We’re building agentic AI for real-world CX. As an AI Engineer at HiOctave, you’ll craft scalable, low-latency AI systems - from LLM orchestration to real-time APIs - using Python, LangGraph, and modern cloud stacks. Fast-paced, high-impact, and deeply hands-on.

What you’ll do:

• Design, build, and maintain real-time AI-powered APIs and services in Python.
• Architect, optimize, and deploy LLM workflows leveraging LangGraph or similar orchestration frameworks.
• Develop agentic logic and reasoning pipelines for conversational and task-based automation.
• Build scalable infrastructure to support multi-model, low-latency, and streaming AI experiences.
• Collaborate with backend and product teams to translate complex customer workflows into reliable AI systems.
• Ensure high performance, reliability, and data security across production workloads.
• Deploy and manage applications on modern cloud environments (AWS / GCP)
• Implement monitoring, logging, and fault-tolerance mechanisms for production-grade AI systems.
• Contribute to architectural and product decisions, balancing innovation, safety, and scalability.

What We’re Looking For:

• BSc or higher in Computer Science, Engineering, or a related technical field.
• 5+ years of experience in backend or ML engineering, building AI/LLM-based systems in production.
• Deep experience with Python (async, multiprocessing, decorators, type hints, debugging).
• Proven hands-on work with LLMs, including streaming inference, prompt management, or multi-agent systems.
• Familiarity with LangGraph, LangChain, or similar orchestration frameworks.
• Strong understanding of MLOps, microservices, and distributed architectures.
• Solid grasp of SQL/NoSQL databases, message queues, and scalable data design.
• Experience deploying applications to AWS, GCP, or similar cloud platforms.
• Ownership mindset — comfortable operating across the stack and figuring things out fast.
• Excited to work in a fast-paced startup environment where priorities shift quickly and impact is immediate.

Why HiOctave:

• Join a well-founded, early team and help shape the foundation of a company redefining SMB customer engagement.
• Build at the intersection of AI and human collaboration, solving first of its kind challenges.
• Competitive compensation, equity, and growth in a fast-scaling AI startup.
• Make a real impact: bring AI superpowers to millions of small businesses around the world.