AI-Driven Full Stack Engineer

Job Title:

Before You Apply — A Message from Our Founder.

For generations, women have navigated systems never built with them in mind. The gaps in leadership, health, wealth, and opportunity were engineered into the world we inherited—and now, for the first time, we have the tools to build something better. AI gives us the chance to design technology that truly partners with the women and organizations working tirelessly to advance women and girls. Being trusted to do this work is both a privilege and a responsibility, and I am looking for people who feel that responsibility as deeply as I do. 

Uplevyl is not a conventional workplace. We have a distinct culture. We exist to create meaningful impact for society, and we hold ourselves to a standard of moving fast while delivering quality that endures. We partner only with those who share our commitment to doing important work, and we build technology that opens doors, expands opportunity, and enables more people to participate and benefit. 

We hire only A-players and compensate them accordingly. We do not compromise on talent, and we part ways respectfully when performance does not meet the standards required by our mission. Everyone at Uplevyl wears multiple hats. No task is beneath anyone. Decisions are driven by merit, not hierarchy. We prioritize customers over internal convenience, avoid politics, and maintain zero tolerance for unnecessary bureaucracy. 

We move with urgency because the mission demands it. When the work calls for it, we stretch beyond traditional hours—not out of obligation, but out of genuine commitment to building something transformative. We look for people energized by bold problems, people who find meaning in momentum and possibility, and who bring a proactive, high-ownership mindset to everything they do. If you thrive in environments where innovation, purpose, and high standards come together, you will feel at home at Uplevyl. 

Role Summary

tech-savvy, AI-enthusiastic Full Stack Engineer

Key Responsibilities

• Build and maintain scalable backend services and APIs using 

  Python (FastAPI/Flask) or Node.js (Nest.js)

  . 
• Design efficient data models and work with 

  PostgreSQL/MySQL and NoSQL databases

  . 
• Develop and maintain 

  data pipelines (ETL/ELT)

   from APIs and structured/unstructured sources. 
• Integrate 

  AI/LLM-based features

  , embeddings, and vector databases where required. 
• Implement 

  clean, modular architecture

   and follow best engineering practices. 
• Deploy and manage services using 

  Docker, cloud platforms (AWS/GCP)

  , and CI/CD pipelines. 
• Ensure performance, reliability, observability, and security of systems. 
• Collaborate with AI, product, and frontend teams to deliver end-to-end features. 

Core Skills Required

• Strong experience with 

  Python or Node.js

   
• Backend frameworks: 

  FastAPI / Flask / Nest.js

   
• Databases: 

  PostgreSQL/MySQL + MongoDB/DynamoDB

   
• Data pipelines & workflows (ETL/ELT, APIs, orchestration basics) 
• Experience with 

  Docker

   and cloud services (

  AWS/GCP

  ) 
• Understanding of 

  microservices & clean architecture

   
• Familiarity with 

  event-driven systems

   (Kafka/RabbitMQ – good to have) 
• Exposure to 

  AI/LLMs, embeddings, vector databases

   
• CI/CD, logging, monitoring, and debugging practices 

AI-Related Soft Skills & Mindset

• Strong curiosity and enthusiasm for 

  AI, emerging technologies, and continuous learning

  . 
• Ability to 

  think critically about AI outputs

  , validate results, and avoid blind reliance on models. 
• Comfort working with 

  ambiguity and evolving AI requirements

  . 
• Problem-solving mindset focused on turning real-world needs into AI-enabled solutions. 
• Ability to 

  collaborate effectively with data scientists, ML engineers, and product teams

  . 
• Clear communication skills to explain AI-driven logic and system behavior to non-technical stakeholders. 
• Ethical awareness around 

  data usage, bias, privacy, and responsible AI practices

  . 
• Experimentation mindset — willing to prototype, test, iterate, and improve AI workflows. 
• Ownership-driven approach with accountability for quality, reliability, and outcomes. 

Ideal Candidate

• Strong backend + data fundamentals with curiosity for AI 
• Comfortable working across systems, data, and integrations 
• Self-driven, detail-oriented, and ownership-minded 
• Interested in building intelligent, scalable products 

Cultural & Work-Style Skills

1. Low Ego, High Contribution

You collaborate across disciplines, share knowledge openly, and welcome feedback on architecture, code, and decisions. You care more about building the right system than about being “right.” 

2. Ownership From Design to Delivery

You think beyond tickets. You take responsibility for the full lifecycle of what you build including architecture, implementation, testing, reliability, and iteration. You solve problems end-to-end rather than waiting for perfect specifications. 

3. Mission-Driven Urgency With Technical Depth

You move quickly when needed, but never at the expense of long-term stability. You can distinguish when to build fast and when to build right and you communicate trade-offs clearly. 

4. Agility in Ambiguity

You are comfortable building in evolving environments with partial information. You prototype, test assumptions early, reduce dependencies, and find creative paths through constraints. 

5. Purpose-Fueled Resilience & Curiosity

You stay steady when debugging complex issues, you learn rapidly, and you adapt as the product and architecture evolve. You draw energy from solving meaningful problems and building systems that open doors for millions of women.