Senior Full Stack Engineer (Python & React / AI-ML Focus)
About the Role
We are seeking a highly skilled and passionate
Senior Full Stack Engineer
to join our core engineering team as a key
Individual Contributor (IC)
. In this role, you will be responsible for designing, building, and scaling end-to-end software solutions that integrate traditional full-stack technology with modern Artificial Intelligence (AI) and Machine Learning (ML) capabilities.
The candidate should have
B. Tech or higher qualification
with have
7–10 years of hands-on software development experience
. Any relevant certification in AI/ML and Cloud will be added advantage.
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.
Qualifications & Skills
1. Core Technical Skills
7 to 10 years
of professional software development experience in an enterprise or high-growth tech environment.
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
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (
Docker
, Kubernetes).
- Firm grasp of Microservices architecture, RESTful API design, and asynchronous task processing.
- Proficiency with Git, CI/CD pipelines, and automated testing frameworks.
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.
