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

> United States · Unspecified · Full-stack · open. Source: https://alderhq.app/jobs/workable%3Ajeffreym-consulting%3A4BADE7304A (read 2026-11-11).

## Facts (observed)

- Company: [JeffreyM Consulting](https://alderhq.app/companies/jeffreym-consulting)
- Location text: San Francisco, California, United States
- Where it can be done from (inferred): United States (evidence: "Location: San Francisco, California, United States")
- Posted: 2026-10-14 (28 days ago)
- First seen by alder: 2026-11-11 · last verified: 2026-11-11
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://apply.workable.com/j/4BADE7304A
- Skills listed (inferred): TypeScript, JavaScript, Next.js, Node.js, Python, Redis, Kafka, Elasticsearch, AWS, GCP, Kubernetes, LLMs, Distributed systems

## Pay and sponsorship

- Posted pay: $260k–$290k per year (from the description)
- Market band for similar posted roles (SF Bay Area, n 144): p25 $165k, median $200k, p75 $252k

## Description (the employer's text)

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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/workable%3Ajeffreym-consulting%3A4BADE7304A and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.