Software Engineer - Platform / Applied AI (Full-Stack)
JeffreyM Consulting
- Location
- Onsite (San Francisco, California)
- Compensation
- $260k - $290k/yr
- Employment
- Full-time
- Level
- Senior Level
About the role
Join the founding team to own core platform and data infrastructure for an early-stage AI company. You will build full-stack product surfaces, desktop data-capture workflows, and high-throughput pipelines while shaping foundational architecture and engineering practices.
Skills
Benefits
- Health Insurance
Perks
- Equity Grant
- Free Meals
- Gym Membership
Full job details
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.
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.
Compensation
$260,000–$290,000 + equity
Benefits
Equity grant vesting over four years, health insurance, covered daily lunch and dinner, and a gym membership.