Backend Engineer/FullStack

Job Description

Job Description

Full-Stack Engineer | AI/ML Start-up | Competitive Salary + Equity

We're partnering with a fast-growing technology start-up that's building intelligent, adaptive systems powered by real-time machine learning. They're looking for a talented  Full-Stack Engineer to join their team and help scale their platform.

About Our Client

Our client has developed a sophisticated learning engine that processes live user behavior data to optimize digital experiences. They serve a growing base of mid-market clients and are expanding their platform capabilities. The company is well-funded, technically strong, and positioned for significant growth.

Why This Role Stands Out

This isn't your typical full-stack position. You'll work at the intersection of engineering and applied ML, building systems that process real-time data and deliver measurable impact. You'll have genuine ownership, ship meaningful features, and grow alongside a talented team solving complex technical challenges.

The Opportunity

• Build and maintain APIs and data pipelines connecting real-time behavioral data to ML systems
• Ship features to production that directly impact customer outcomes
• Collaborate with cross-functional teams across engineering, product, and data
• Contribute to development infrastructure including CI/CD, testing frameworks, and code quality
• Debug production systems using modern observability tools (logs, metrics, traces)
• Increase your technical ownership and responsibilities as you develop expertise

What You'll Need

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field (or equivalent experience)
• 1–5 years building and supporting production web applications
• Strong backend or full-stack fundamentals: APIs, databases, asynchronous processing, testing
• Production experience with  Python and  SQL
• Familiarity with Git and CI/CD workflows
• Excellent problem-solving and analytical skills
• Interest in applied ML or LLM-based systems (production experience is a bonus, not required)

Nice to Have

• Exposure to LLM-driven systems (prompt management, caching, streaming)
• Experience with Docker; Kubernetes knowledge is a plus
• Passion for exploring new technologies and continuous learning

Compensation & Benefits

• Competitive base salary (commensurate with experience)
• Meaningful equity stake in a growing start-up
• Full health benefits: medical, dental, vision
• 401(k) with employer matching
• Remote work stipend
• Generous PTO

Next Steps

If you're interested in working on challenging technical problems involving real-time data, ML systems, and production-scale infrastructure, we'd love to connect. We can share more details about the company, team, and tech stack in a confidential conversation.

Interested? Let's talk. Apply now or reach out directly to learn more.