Location: 

(

Remote

,

REMOTE

)

Salary: 

$

145k

 - $

185k

Senior Full-Stack Software Engineer (AI/NLP Platform)

Location: Remote (US) or Hybrid Options

About Us

We're a fast-growing AI startup transforming how global brands understand their customers. Our NLP-powered SaaS platform analyzes millions of product reviews and ratings, uncovering actionable insights that shape product development and customer experiences for Fortune 500 companies in beauty, CPG, electronics, and more. Backed by top-tier VCs specializing in B2B analytics and NLP, we're scaling our technology while maintaining our startup agility and innovative spirit.

The Role

As a Senior Full-Stack Engineer, you'll architect and build core features of our AI analytics platform, working across the stack to process unstructured feedback at scale. You'll collaborate directly with founders and a cross-functional team to push the boundaries of NLP technology while ensuring our systems remain scalable, reliable, and intuitive for enterprise users.

What You'll Do

  1. Develop and optimize Python-based APIs (Flask/Django/FastAPI) that power our NLP analytics engine
  2. Build and enhance frontend interfaces (React/Vue) that visualize complex customer insights
  3. Design scalable data pipelines to process millions of global reviews across relational and NoSQL databases
  4. Contribute to our AI/NLP capabilities (entity recognition, sentiment analysis, trend detection)
  5. Collaborate with product and customer teams to translate business needs into technical solutions
  6. Own system architecture decisions for key product initiatives

What We Value

  1. Full-stack versatility with depth in backend development
  2. Product mindset – you build with the end-user in mind
  3. Startup hustle – comfortable with ambiguity and rapid iteration
  4. Intellectual curiosity about NLP/AI and large-scale data challenges

Tech Stack & Requirements

  1. Backend: Python (Flask/Django/FastAPI), REST/GraphQL APIs
  2. Frontend: Modern JavaScript framework (React preferred)
  3. Data: PostgreSQL, MongoDB, Redis
  4. Cloud: AWS or GCP services (Lambda, ECS, RDS, etc.)
  5. Experience: 4+ years in production environments
  6. Bonus: NLP/DL experience, ETL pipelines, startup experience

Why Join Us?

  1. Impact: Your work directly influences products used by millions
  2. Growth: Accelerate your career at the intersection of AI and enterprise SaaS
  3. Team: Work alongside NLP experts and seasoned startup leaders
  4. Perks: Competitive salary, equity, full benefits, remote flexibility

Ideal Candidate

You're a pragmatic full-stack engineer who thrives in early-stage environments. You balance technical excellence with product intuition, and you're excited to scale AI technology that solves real business problems.

Apply now to help brands build better products through AI-powered insights.

Ready to grow your career?

Let's get started