Senior AI Engineer
Posted Jun 21 · 0 applicants
Saving, applying or scoring takes a few seconds to set up your free account.
The role in plain words
- 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
Extracted from the job description · kept up to date automatically
Who this suits
Full job description
Original listing · kept for referenceAbout HiO
HiO is an AI Business Partner for small and medium business owners, unifying customer conversations from every platform into a single, intelligent co-worker that proactively surfaces growth opportunities and flags what actually needs the owner’s attention. The market demand for this kind of intelligent automation is explosive, but executing it flawlessly is a deep technical challenge. We aren't just building a simple LLM wrapper; we are architecting a complex, highly reliable system capable of orchestrating sophisticated agentic workflows at scale. To meet this massive market pull, we’ve raised a $16M seed round from the visionary VCs behind OpenAI and Anthropic, alongside Wix as a strategic investor. We’re a high-talent, fast-moving team building the future of how small businesses thrive, and we’re just getting started.
About the Role
We’re building agentic AI for real-world CX. As an AI Engineer at HiO, 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 HiO
High Impact: Be a foundational member of a core engineering team, playing a pivotal role in redefining how small businesses engage with their customers.
Cutting-Edge Tech: Build at the forefront of agentic AI, solving first-of-its-kind challenges at the intersection of AI and human collaboration.
Growth & Equity: Competitive compensation, meaningful equity, and real career growth in a fast-scaling, VC-backed AI startup.
Mission: Make a tangible impact by bringing AI superpowers to millions of small and medium businesses worldwide.
Show more
Show less
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 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