AI-Driven Full Stack Engineer

Job Title: AI-Driven Full Stack Engineer

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 inheritedand 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.

Uplevylis 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 toparticipateand benefit.

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

We move with urgency because the mission demands it. When the work calls for it, we stretch beyond traditional hoursnot 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, andhigh standardscome together, you will feel at home atUplevyl.

Role Summary

We are looking for atech-savvy, AI-enthusiastic Full Stack Engineer who can build scalable backend systems, data pipelines, and AI-enabled features. The role focuses on strong backend fundamentals, clean architecture, and practical AI integration.

Key Responsibilities

• Build andmaintainscalable backend services and APIs usingPython (FastAPI/Flask) or Node.js (Nest.js) .
• Design efficient data models and work withPostgreSQL/MySQL and NoSQL databases .
• Develop andmaintaindata pipelines (ETL/ELT) from APIs and structured/unstructured sources.
• IntegrateAI/LLM-based features , embeddings, and vector databases whererequired.
• Implementclean, modular architecture and follow best engineering practices.
• Deploy and manage services usingDocker, 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 withPython or Node.js
• Backend frameworks:FastAPI/ Flask / Nest.js
• Databases:PostgreSQL/MySQL + MongoDB/DynamoDB
• Data pipelines & workflows (ETL/ELT, APIs, orchestration basics)
• Experience withDocker and cloud services (AWS/GCP )
• Understanding ofmicroservices & clean architecture
• Familiarity withevent-driven systems (Kafka/RabbitMQ good to have)
• Exposure toAI/LLMs, embeddings, vector databases
• CI/CD, logging, monitoring, and debugging practices

AI-Related Soft Skills & Mindset

• Strong curiosity and enthusiasm forAI, emerging technologies, and continuous learning .
• Ability tothink critically about AI outputs ,validateresults, and avoid blind reliance on models.
• Comfort working withambiguity and evolving AI requirements .
• Problem-solving mindset focused on turning real-world needs into AI-enabled solutions.
• Ability tocollaborate 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 arounddata 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 youbuildincluding architecture, implementation, testing, reliability, and iteration. You solve problems end-to-end rather than waiting for perfect specifications.

3. Mission-Driven UrgencyWithTechnical 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 buildrightand 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.