Quanteon Solutions

About the Role

We are looking for a Junior React Native Developer with 1–2 years of hands-on experience in developing mobile applications using React Native for both Android and iOS platforms.

The ideal candidate should have strong fundamentals in React Native and JavaScript/TypeScript, along with exposure to AI/ML technologies and AI-assisted development tools such as Claude, Cursor, GitHub Copilot, ChatGPT, or similar tools.

This is a Junior-level role for someone who is eager to build mobile applications, learn new technologies, and work on AI-enabled features.

Key Responsibilities

• Develop, maintain, and enhance cross-platform mobile applications using React Native.
• Build and support applications for both Android and iOS platforms.
• Develop reusable, scalable, and user-friendly mobile UI components.
• Integrate REST APIs, third-party APIs, SDKs, and backend services.
• Debug and troubleshoot applications across Android and iOS devices.
• Assist with application testing, performance optimization, and bug fixing.
• Assist in integrating AI/ML or GenAI-powered features into mobile applications.
• Use AI-assisted development tools such as Claude, Cursor, GitHub Copilot, ChatGPT, or similar tools for development, debugging, code generation, and problem-solving.
• Collaborate with the development team to understand requirements and deliver features.
• Participate in code reviews and follow development best practices.

Required Skills

• 1–2 years of hands-on experience with React Native.
• Good hands on experience with JavaScript / TypeScript.
• Understanding of React Native components, hooks, navigation, and state management.
• Experience with REST APIs, JSON, and API integration.
• Exposure to Android and iOS application development.
• Familiarity with Android Studio and Xcode.
• Experience with mobile application debugging and testing.
• Exposure to AI/ML, GenAI, AI APIs, or AI-powered application features.
• Familiarity with AI-assisted development tools such as Claude, Cursor, GitHub Copilot, ChatGPT, or similar tools.
• Good problem-solving and communication skills.

Educational Qualification

B.Tech / B.E. in CSE, IT, or AI/ML only.

Preferred Qualifications

• Candidates currently based in Hyderabad are preferred.
• Immediate Joiners or candidates with a short notice period are preferred.
• Exposure to AI/ML or GenAI projects is an advantage.
• Experience integrating AI APIs into mobile applications is a plus.
• Knowledge of Git/GitHub and basic CI/CD concepts is preferred.
• Experience with Google Play Store / Apple App Store deployment is an added advantage.

Work Location

Gachibowli, Hyderabad

Note: This is a Junior React Native Developer position. Candidates with 1–2 years of relevant React Native experience, Android/iOS exposure, and AI/ML exposure are encouraged to apply.

Role Description

Software Engineer is a full-time role based in Hyderabad with Onsite work arrangement. This role involves designing, developing, and maintaining back-end services and APIs, ensuring high performance, scalability, and security across platforms. The engineer will participate in architecture discussions, code reviews, and technical decision-making, collaborating closely with product owners, QA, and cross-functional teams. Daily responsibilities include writing clean, maintainable code, troubleshooting complex issues, improving system performance, and contributing to best practices, documentation, and engineering standards. The role also includes mentoring less experienced engineers and supporting continuous improvement in development processes and tooling.

Key Requirements/Skills

4-7 years of overall experience in software development with strong expertise in building scalable web & mobile applications.

• Strong technical decision-making ability, including architecture design, technology selection and implementation of best practices.
• Front-end expertise: Strong experience in React, JavaScript, TypeScript, NextJS and building responsive and user-friendly UI/UX.
• Back-end development: Hands-on experience with Node.js, Express JS, Nest JS, RESTful APIs, API design, and server-side architecture.
• Databases : Good Hands on Exprience in both SQL(PostgreSQL Preferred) & No SQL Databases
• Gen AI Expertise: Experience in building RAG & LLM Systems, implementing AI/ML models and integrating AI-based solutions to solve business problems. Expereince with Langchain, langgraph and Vector DBs, Voice AI(STT, TTS) Models and experience in using Open AI Tools (Calude, Cursor, etc.)
• Cloud & DevOps exposure: Experience with AWS/Azure, understanding of CI/CD pipelines, and cloud-based deployments.
• Code quality & best practices: Experience in code reviews, Git version control, and ensuring maintainable and secure code.
• Team leadership: Ability to mentor developers, guide technical discussions, and collaborate across teams.
• Strong communication skills to effectively interact with technical and non-technical stakeholders.
• Experience working in high-compliance environments such as healthcare systems is a plus.
• Certifications in AWS & Other skills and technologies will be an added advantage.

Educational Qualification

• B.Tech / M.Tech in CSE/IT/AI&ML only from a recognized university/college. 

Key Responsibilities:

• Develop and deploy machine learning, deep learning, and NLP models for various business use cases.
• Build end-to-end ML pipelines including data preprocessing, feature engineering, training, evaluation, and production deployment.
• Optimize model performance and ensure scalability in production environments.
• Work closely with data scientists, product teams, and engineers to translate business requirements into AI solutions.
• Conduct data analysis to identify trends and insights.
• Implement MLOps practices for versioning, monitoring, and automating ML workflows.
• Research and evaluate new AI/ML techniques, tools, and frameworks.
• Document system architecture, model design, and development processes.

Required Skills:

• Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras).
• Hands-on experience in building and deploying, finetuning ML/DL models in production.
• Good understanding of machine learning algorithms, neural networks, NLP, and computer vision.
• Experience with REST APIs, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
• Working knowledge of MLOps tools such as MLflow, Airflow, DVC, or Kubeflow.
• Familiarity with data pipelines and big data technologies (Spark, Hadoop) is a plus.
• Strong analytical skills and ability to work with large datasets.
• Excellent communication and problem-solving abilities.
• Experience in deploying models using cloud services (AWS Sagemaker, GCP Vertex AI, etc.).
• Experience in LLM fine-tuning or Generative AI, Voice AI, is an added advantage.

Educational Qualification:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, IT, from IIT/NIT colleges strongly preferred

Key Requirements / Skills

• 6+ years of overall experience in software development with strong expertise in building scalable web applications.
• 2+ years of experience as a Technical Lead, managing development teams and driving project delivery.
• Strong technical decision-making ability, including architecture design, technology selection, and implementation of best practices.
• Front-end expertise: Strong experience in React, JavaScript, TypeScript, and building responsive and user-friendly UI/UX.
• Back-end development: Hands-on experience with Node.js, RESTful APIs, API design, and server-side architecture.
• Gen AI Expertise: Experience in building RAG & LLM Systems, implementing AI/ML models or integrating AI-based solutions to solve business problems.
• Cloud & DevOps exposure: Experience with AWS/Azure, understanding of CI/CD pipelines, and cloud-based deployments.
• Code quality & best practices: Experience in code reviews, Git version control, and ensuring maintainable and secure code.
• Team leadership: Ability to mentor developers, guide technical discussions, and collaborate across teams.
• Strong communication skills to effectively interact with technical and non-technical stakeholders.
• Experience working in high-compliance environments such as healthcare systems is a plus.

Education Qualifications:

• B.Tech/M.Tech in CSE/IT/AI/ML from a good university