Software Engineer - Platform/Applied AI; Full-Stack
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-10-18
Listing for:
JeffreyM Consulting, LLC.
Full Time
position Listed on 2026-10-18
Job specializations:
-
Software Development
Full Stack Developer, Cloud Engineer - Software, Backend Developer, Software Engineer
Job Description & How to Apply Below
Position:
Software Engineer - Platform / Applied AI (Full-Stack)
Location:
San Francisco, CA | Full-time | In person Compensation: $260,000–$290,000 + equity
THE ROLE
Our client is looking for a Software Engineer to join their team to own core platform and data infrastructure alongside the founding team. The work spans full-stack product surfaces, desktop data-capture workflows, high-throughput pipelines, and foundational architecture. The engineer will have direct founder access and substantial responsibility for decisions that shape the growing engineering team.
WHAT YOU WILL OWN- Build and scale data-capture workflows across Next.js web applications and Python desktop systems.
- Improve reliability, throughput, and performance under heavy production loads.
- Architect data pipelines and make greenfield decisions about storage, caching, search, and message queues.
- Establish engineering practices and scalable system patterns.
- Work directly with the founders on product strategy and ship features quickly.
- Take ideas from design through production and balance delivery speed with reliability.
- Full-stack JavaScript/Next.js and Python application development.
- Strong coding fundamentals in Node.js/Type Script, Python, and/or Go.
- Serverless architecture and cloud functions for substantial data processing on AWS or GCP.
- Distributed systems, scalability, system design, and clear reasoning about technical trade-offs.
- Hands-on experience with Redis caching, Elasticsearch indexing, and Kafka, RabbitMQ, or comparable message queues.
- Familiarity with Kubernetes, APIs, and No
SQL databases. - Evidence of personally getting ideas into production.
- AI research, LLM evaluation, or human-in-the-loop systems.
- AI agents or reinforcement-learning environments.
- Founder or early engineering experience.
- An active Git Hub showing sustained building.
- Ownership of production systems with measurable reliability or throughput results.
- Experience with both user-facing software and demanding data infrastructure.
- Proactive decisions in ambiguous, fast-moving startup work.
- Clear motivation to work in AI operations and at an early-stage company.
- Willingness to work the intense hours described in the hiring brief.
$260,000–$290,000 + equity
Benefits- Equity grant vesting over four years, health insurance, covered daily lunch and dinner, and a gym membership.
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