
AI/ML Technical Lead
- On-site
- Austin, Texas, United States
- SNH.AI
Job description
SNH.AI is an early-stage startup at the forefront of agentic AI for operations functions. We are building a new category called the Autonomous Workforce Platform.
An Autonomous Workforce Platform delivers fully operational digital employees that perform entire job roles — not just tasks — with no hiring, HR burden, or human limitations.
We are building a world where every business can instantly scale its workforce, without hiring, overhead, or human limitations — by delivering digital employees who work faster, scale instantly, and operate 24/7.
We’re a highly collaborative, on-site team based in the heart of downtown Austin. Our founding team has a proven track record of taking SaaS businesses from 0 to 1, and we’re committed to solving hard problems, building straightforward products, and fostering a culture of trust, ownership, and optimism.
Why Join Us?
Be part of a foundational team building a product from the ground up
Solve meaningful problems that impact real industries and real people
Work closely with experienced operators and engineers who’ve done this before
Enjoy a collaborative, in-person culture in a vibrant Austin office
Key Responsibilities:
Design, build, and maintain scalable production systems and APIs, specifically data back-end infrastructure
Integrate and deploy AI/LLM-powered solutions to automate complex workflows
Work across the full technology stack, from backend services to front-end applications
Contribute to data and model architecture decisions and technical strategy in a fast-moving startup environment
Prototype and iterate rapidly on new features and capabilities
Collaborate cross-functionally to ensure engineering solutions align with business goals
Navigate and integrate with legacy systems and ensure compliance with regulatory standards
Job requirements
What We’re Looking For:
Startup Mindset & Initiative: Self-starter who thrives in fast-paced, ambiguous environments. Comfortable taking ownership and driving results without needing step-by-step instructions.
AI & Innovation Focus: Hands-on LLM implementation. Extensive experience with LLMs like GPT-4/Claude/Gemini), ML Ops, reinforcement learning, and cognitive systems.
Technical Excellence: 4+ years of professional experience building and implementing AI/ML Transformer models. Proficiency in Python, Type Script and common ML/NLP frameworks (pyTorch, HuggingFace, OpenAI API). Highly desired C/C++/C# background.
Full-Stack Development Skills: Experience with REST APIs, web frameworks, and relational databases. Proficient in modern backend languages and cloud-based infrastructure. Familiarity with our core tech stack is a plus: NodeJS / NestJS, Prisma, PostgreSQL, Google Cloud Platform (GCP)
Collaborative Spirit: Strong communication skills and a team-oriented mindset. Able to brainstorm, problem-solve, and iterate with colleagues across functions.
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