Artificial Intelligence Engineer
3 days ago
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.
-
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