Senior AI Engineer

Role Overview

As a Senior AI Engineer on our Applied AI team, you will design and deploy production‑grade agentic AI systems that transform real‑world workflows s role is ideal for someone who thrives on ownership, is energized by ambiguity, and wants to ship consequential systems, not just run experiments. You will own end‑to‑end AI pipelines from data ingestion through retrieval, orchestration, and output, while also shaping product direction and engineering culture.

• Design and build multi‑agent systems that reason across messy, real‑world data
• Own end‑to‑end AI pipelines — data -> retrieval -> orchestration -> output
• Develop evaluation frameworks, benchmarks, and quality loops to ensure reliability
• Build and scale data ingestion and retrieval infrastructure
• Integrate LLMs with enterprise data, tools, and workflows using frameworks such as:
  • Agno, Lang Chain, Llama Index, and Semantic Kernel
  • Claude Code, Cursor, and Augment Code for enterprise agent deployment
• Ship full‑stack product features in close collaboration with end users
• Help define technical architecture, product direction, and engineering culture
• Write clear, well‑structured Python and Type Script code for production ML systems

• 4 years of hands‑on software engineering experience; startup experience strongly preferred
• Proven track record shipping production‑grade AI systems, not just prototypes
• Strong hands‑on experience with:
  • Agent architectures, LLM systems, and RAG pipelines
  • Retrieval, grounding, and orchestration techniques
  • Python (strong proficiency) and Type Script (working knowledge)
• 4 years of infrastructure experience (cloud services, distributed systems)
• 4 years working with containerization tools such as Docker and Kubernetes
• 2 years of experience building with Large Language Models (LLMs) in production
• Full‑stack ownership mindset — comfortable operating across the entire system
• Strong data instincts and experience working with messy, real‑world datasets
• Must be authorized to work in the United States (no visa sponsorship available)
• Ability to commute to the San Jose, CA office (Hybrid Schedule)

• Experience with evals frameworks and AI quality measurement
• Background in AI infrastructure or distributed systems
• Exposure to automotive, logistics, or other physical‑world domains
• MLOps / Dev Ops experience; CI/CD pipelines, Docker, Kubernetes
• Former founder or early employee at a startup

• Define the core AI systems of the company from the ground up
• Work on problems where AI meets the physical world at scale
• High ownership, high impact, your work ships immediately
• Small, sharp team with a bias for action and a frontier mindset

Klear Now offers a competitive compensation package commensurate with experience, including:

• Comprehensive medical, dental, and vision insurance
• Equity participation
• Flexible time off
• Collaborative, hybrid in‑office environment in our San Jose, CA headquarters
• The US salary range for this position is $187k to $215k in the San Jose Bay Area, California

Klear Now is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.