Python Full Stack Developer

Quantanite is a specialist business process outsourcing (BPO) and customer experience (CX) solutions company that helps fast-growing companies and leading global brands to transform and grow. We do this through a collaborative and consultative approach, rethinking business processes and ensuring our clients employ the optimal mix of automation and human intelligence. We are an ambitious team of professionals spread across four continents and looking to disrupt our industry by delivering seamless customer experiences for our clients, backed-up with exceptional results. We have big dreams, and are constantly looking for new colleagues to join us who share our values, passion and appreciation for diversity.

The company is headquartered in London, with delivery centers in Dhaka (Bangladesh), Johannesburg (South Africa) and Thane (India). The current positions are for our Thane, India delivery center.

We are seeking a Python Full Stack developer to be an extension to our team and play a critical role in implementation of several solutions in the form of products, or tools & utilities. The ideal candidate will have a strong experience of end-to-end development of small-scale products & utilities independently.

As a Full Stack developer, you will be responsible for front-end and back-end development using various technology and frameworks, working closely with the operations team as well as business analyst, project management and our technology partners.

Key Responsibilities

• • Develop, test, and maintain Al apps and machine learning models using Python.
  • Create and maintain Al bots based on custom/ application APls.
  • Implement data manipulation and analysis using libraries such as NumPy and Pandas
• . • Troubleshoot and debug Al applications and fine tune models.
• • Participate in code reviews to ensure code quality and share knowledge with the team
• . • Stay updated with the latest advancements in Al and machine learning technologies.
• Ensure that solutions are scalable, maintainable, and meet the best practices for security, performance and data management
• Stay current with emerging technologies and trends in process automation and make Python Full Stack Developer recommendations for incorporating them into client solutions
• Collaborate, validate, and provide frequent updates to internal stakeholders throughout the project lifecycle
• Continuously research emerging technologies and determine credible solution
• Positively and constructively engage with clients and operations teams where required.

Required Skills • Proficiency in Python as the primary programming language. • Building LLM powered applications in a production environment. • Knowledge of Python backend frameworks like Django or Flask, FastAPl etc. • Knowledge of LLM internals and good knowledge of LLM ecosystem both private (Open Al, Gemini, Anthropic etc) and open source. • Experience with version control systems like Git/ Github, Devops knowledge. • Strong experience with NumPy and Pandas libraries for data manipulation and analysis. • Solid understanding of machine learning principles and algorithms.

Nice-to-Have Skills • Experience with Langchain. • Knowledge of ReactJS(with Next & TypeScipt) Azure(deployment on webapps, Functions) • Familiarity with Hugging Face Transformers for natural language processing. • Experience in BPO Outsourcing/ IT outsourcing Qualifications • Bachelor's degree in Computer Science, Artificial Intelligence, Engineering, or a related field, or equivalent work experience. • 3-5 years of experience in Al, machine learning, and Python development. • Proven ability to work independently and as part of a team.

Additional Information

Why Join Us:
At Quantanite, you will be part of a vibrant and forward-thinking team that values innovation, efficiency, and excellence. This is an excellent opportunity for someone looking to grow their career in recruitment while working in an international, collaborative environment.

If you are an organized, proactive professional with a passion for recruitment, we invite you to apply and join our dynamic team.