Full Stack Developer - 7-10 Years

We at Prometteur Solutions Pvt. Ltd. are a team of IT experts, who came with a promise of delivering technology-empowered business solutions. We provide world-class software and web development services that focus on playing a supportive role to your business and its holistic growth. Our highly-skilled associates and global delivery capabilities ensure the accessibility and scale to align client's technology solutions with their business needs. Our offerings span the entire IT lifecycle: from Consulting through Packaged, Custom, and Cloud Applications as well as a variety of Infrastructure Services.

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

• 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

• 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.