# Software Engineer - Platform / Applied AI (Full-Stack)

> JeffreyM Consulting · San Francisco, United States · — · Posted 2026-10-14

**Salary:** USD 260,000–290,000

**Workplace:** on_site

## Description

**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.

## Requirements

**REQUIRED TECHNICAL EXPERIENCE**

\- Full-stack JavaScript/Next.js and Python application development.

\- Strong coding fundamentals in Node.js/TypeScript, 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 NoSQL databases.

\- Evidence of personally getting ideas into production.

**NICE TO HAVE**

\- AI research, LLM evaluation, or human-in-the-loop systems.

\- AI agents or reinforcement-learning environments.

\- Founder or early engineering experience.

**STRONG CANDIDATE SIGNALS**

\- An active GitHub 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.

## Benefits

**Compensation**

$260,000–$290,000 + equity

**Benefits**

Equity grant vesting over four years, health insurance, covered daily lunch and dinner, and a gym membership.

## Apply

[Apply at JeffreyM Consulting](https://apply.workable.com/jeffreym-consulting/j/4BADE7304A/apply)

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