FREE ACCESS
5,000–10,000 jobs/day

See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Senior AI Engineer
KlearNowSenior AI Engineer on the Applied AI team designing and deploying agentic AI systems. KlearNow builds intelligence layer for global trade and logistics and seeks builders to define technical foundation.
Posted 5/10/2026full-timeSan Jose • California • 🇺🇸 United StatesSenior💰 $187,000 - $215,000 per yearWebsite
Tech Stack
Tools & technologiesCloudDistributed SystemsDockerKubernetesPythonTypeScript
About the role
Key responsibilities & impact- 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, LangChain, LlamaIndex, and Semantic Kernel
- Claude Code, Cursor, and AugmentCode 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 TypeScript code for production ML systems
Requirements
What you’ll need- 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 TypeScript (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)
Benefits
Comp & perks- Comprehensive medical, dental, and vision insurance
- Equity participation
- Flexible time off
- Collaborative, hybrid in-office environment in our San Jose, CA headquarters
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonTypeScriptAI pipelinesAgent architecturesLLM systemsRAG pipelinesData retrievalGrounding techniquesOrchestration techniquesContainerization
Soft Skills
CollaborationFull-stack ownership mindsetData instincts