Software Engineer - Platform / Applied AI (Full-Stack)
At a glance
Mid-level AI Engineering role at JeffreyM Consulting. San Francisco · $260,000–$290,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Create data-capture workflows for Next.js websites and Python desktop software
- Make production services more dependable and increase their speed and capacity under heavy load
- Shape data pipelines, choosing how they handle storage, caching, search and message traffic
- Set engineering habits and reusable system designs that support growth
- Take product ideas from design to release, working with founders on priorities and delivery pace
What you bring
- You have developed full-stack products with Next.js, JavaScript and Python
- You code confidently in Node.js or TypeScript, Python, or Go
- You have used serverless designs and cloud functions for large-scale data workloads on AWS or GCP
- You can assess distributed systems, scaling needs and the trade-offs in system design
- You have worked directly with Redis, Elasticsearch and Kafka, RabbitMQ or a similar queue
Who this fits
This suits an engineer who has put production software into use and can span customer-facing features and data infrastructure. The job is in person in San Francisco, involves direct work with founders, and calls for willingness to put in intense hours.
From the employer
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.