Full Stack

3 weeks ago


Hyderabad, Telangana, India Kamet Consulting Group Full time
About the Role We are seeking a skilled Full Stack Engineer to contribute to our product team building innovative AI/ML applications for pharmaceutical, medical device, and digital health companies.
You will collaborate with engineers and product managers to design, build, and scale full-stack web applications, leveraging React, TypeScript, Java, or Python, and deploy and monitor applications in AWS/GCP environments using Docker and Kubernetes.
As a senior-level engineer, you will thrive in a fast-paced, collaborative environment and be excited to work on cutting-edge life sciences and AI/ML technology.
Responsibilities
  • Collaborate with cross-functional teams to design, develop, and deploy full-stack web applications.
  • Implement robust front-end interfaces using React, and back-end services using TypeScript, Java, or Python.
  • Support development of cloud-based AI/ML tooling, including LLM-powered services and intelligent assistants.
  • Manage secure, scalable databases and data pipelines (PostgreSQL, MongoDB, etc.).
  • Deploy and monitor applications in AWS/GCP environments using Docker and Kubernetes.
  • Ensure code quality through testing, reviews, and documentation.
  • Handle data migrations and contribute to architectural decisions.
  • Maintain effective communication with remote team members.
Requirements
  • 5+ years of hands-on software engineering experience in full-stack development.
  • Strong proficiency in JavaScript/TypeScript, and one or more back-end languages (Java, Python, Node.js).
  • Experience with modern front-end frameworks (React required).
  • Strong database design and optimization experience (SQL and NoSQL).
  • Experience deploying cloud applications and APIs using Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure).
  • Familiarity with Git, CI/CD pipelines, and agile workflows.
  • Proficient in English communication and documentation.
Preferred Qualifications
  • Experience supporting products for U.S. clients or life sciences organizations (pharma, medtech, healthcare).
  • Familiarity with LLMs, AI/ML model integration, or MLOps practices.
  • Knowledge of healthcare compliance (e.g., HIPAA, GxP, 21 CFR Part 11) is a plus.
Benefits
  • Competitive offshore compensation based on experience and geography.
  • Long-term collaboration with potential for growth.
  • Flexible work hours with core U.S. time zone overlap.
  • Exposure to cutting-edge AI/ML tools in regulated industries.
  • Opportunity to work with a global, high-performing startup team.


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