Full stack developer - 7-10 years

About the Role

Key Responsibilities

• End-to-End System Architecture & Development: Design, build, and maintain robust, scalable, and high-performance full-stack web applications using Python (FastAPI) on the backend and React.js on the frontend.
• Database Design & Management: Architect and optimize both relational ( SQL ) and non-relational ( NoSQL ) database schemas to handle complex data structures efficiently.
• AI & ML Integration: Leverage hands-on experience in AI & ML technologies to implement predictive modeling, NLP, or LLM-driven features directly into production workflows.
• Individual Ownership: Act as a strong Individual Contributor , driving critical product features from technical specification through design, development, testing, and production deployment.
• API Development: Design and maintain clean, secure, and well-documented RESTful APIs using FastAPI.
• Performance & Scalability: Optimize frontend performance and backend API latency to ensure low-latency responsiveness and high availability.
• Cross-Functional Collaboration & Communication: Articulate complex technical designs and trade-offs effectively to engineers, product managers, and executive stakeholders.
• Code Quality & Mentorship: Advocate for clean code, solid testing practices (unit/integration), continuous integration/deployment (CI/CD), and conduct thorough code reviews.

1. Core Technical Skills

• Overall Experience: 7 to 10 years of professional software development experience in an enterprise or high-growth tech environment.
• Backend: Expertise in Python with hands-on proficiency in asynchronous frameworks, specifically FastAPI .
• Frontend: Strong proficiency in modern React.js (including Hooks, state management solutions like Redux/Zustand, and modern UI libraries).
• Databases: Strong hands-on experience with both SQL (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, DynamoDB, Redis).
• AI / ML Expertise: Hands-on experience integrating AI/ML libraries and models (e.g., PyTorch, TensorFlow, Scikit-Learn, OpenAI API, LangChain, or Hugging Face) into real-world applications.

2. Software Engineering Practices

3. Soft Skills & Operational Mindset

• Communication: Exceptional verbal and written communication skills with the ability to articulate technical concepts to both technical and non-technical audiences.
• Mindset: Self-driven individual contributor who thrives on autonomy, problem-solving, and continuous learning.

Preferred / Nice-to-Have Qualifications

• Experience with Vector Databases (e.g., Pinecone, Weaviate, Qdrant, Chroma).
• Experience with DevOps, Infrastructure as Code (Terraform), and monitoring/logging tools.
• Understanding of MLOps pipelines and model deployment strategies.