Forward Deployed Engineer (Full stack Developer)

Graviti Pharmaceuticals; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Graviti Pharmaceuticals is seeking a hands-on Full-stack Engineer to translate complex requirements into deployable MVPs while integrating ML models into production applications. The role spans web and mobile development, data pipelines, and regulated software practices within a MedTech context.

You will collaborate with data science and QA teams to ensure scalable, compliant solutions and deliver CI/CD pipelines, containerization, and cloud deployments.

Qualifications

• 3–6 years of hands-on full-stack development experience with a clear track record of shipping applications end-to-end—from prototype to production.
• Prior experience integrating ML/AI models into production applications is strongly preferred.
• Experience in pharma, medtech, health-tech, Health RCM, or any regulated software environment is a strong advantage.

Responsibilities

• Translate requirements into technical specifications and rapidly ship full-stack MVPs within short sprint cycles.
• Build and maintain web and mobile applications (iOS & Android) using React, React Native, Expo, Node.js, and Python.
• Design backend services, REST APIs, and data pipelines handling clinical-grade and RCM data at scale.
• Integrate ML models and collaborate with data scientists to ensure robust deployment.
• Contribute to validation and audit-readiness activities alongside QA and regulatory teams.

Skills

Full-stack development

ML model integration

Regulated software environments

Stakeholder communication

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

Python

Node.js

React

React Native

Expo

PostgreSQL

TimescaleDB

InfluxDB

AWS

Azure

Digital Ocean

Docker

CI/CD

Git

Bitbucket

Power BI

Tableau

REST APIs

GraphQL

ETL pipelines

Job description

Key Responsibilities

Prototyping & Full-Stack Development

• Engage directly with stakeholders to translate requirements into technical specs and rapidly ship full-stack MVPs within short sprint cycles across diverse MedTech and Health RCM use cases.
• Build and maintain end-to-end web and mobile applications (iOS & Android) using React, React Native, Expo, Node.js, and Python.
• Design backend services, REST APIs, and data pipelines handling clinical-grade and RCM data at scale.
• Leverage AI-assisted development tools (Claude Code, Cursor, GitHub Copilot) to accelerate delivery and raise engineering throughput.

ML Model Integration

• Integrate ML and predictive models delivered by the data science team into production applications, ensuring seamless inference pipelines, versioned model deployments, and real-time or batch serving as required.
• Implement formal controls for ML model lifecycle management version control of model weights, deployment scripts, and rollback procedures — as required for FDA traceability.
• Collaborate closely with data scientists to define data contracts, API boundaries, and integration test coverage for model-powered features.

Scaling to Production & Maintenance

• Own the transition from MVP to production-ready: refactor for performance, reliability, and security; implement CI/CD pipelines, containerisation (Docker), and cloud deployments (AWS / Azure / DigitalOcean).
• Maintain production applications with a strong sense of ownership — proactive monitoring, issue triage, and incident resolution.
• Build and maintain BI dashboards and data visualisation tools to surface actionable insights for clinical and operations leadership.

Regulatory Awareness

• Develop software with an inherent understanding of regulated medtech environments; contribute to validation documentation and audit-readiness activities alongside QA and the regulatory teams.

Required Qualifications & Experience

Education & Experience

• Bachelor’s or Master’s in Computer Science, Engineering, or a related field.
• 3–6 years of hands-on full-stack development experience with a clear track record of shipping applications end-to-end — from prototype to production.
• Prior experience integrating ML/AI models into production applications is strongly preferred.
• Experience in pharma, medtech, health-tech, Health RCM, or any regulated software environment is a strong advantage.

Technology Stack

Category

Technologies

Languages & Frameworks

Python, Node.js, React, React Native (iOS & Android), Expo

Database

PostgreSQL, time-series databases (e.g. TimescaleDB, InfluxDB)

Cloud & DevOps

AWS, Azure, Digital Ocean; Git/Bitbucket, CI/CD, Docker, secure SDLC

AI/ML & Agentic Tools

Claude Code, Cursor, GitHub Copilot; MLOps & model deployment pipelines

Analytics & Integration

Power BI / Tableau; REST APIs, GraphQL, ETL pipelines

Regulatory & Compliance Knowledge (Desirable)

Familiarity with any of the following is a plus, not a prerequisite: 21 CFR Part 11, HIPAA / GDPR, IEC 62304 (Software Lifecycle for Medical Devices), ALCOA+ Data Integrity Principles, GAMP 5 framework.

Key Competencies

• Strong ownership mindset — you follow through from requirement to production and beyond.
• Clear communicator; comfortable presenting prototypes and technical trade-offs to C-suite stakeholders.
• Comfortable with ambiguity — you can define the problem, not just execute against a spec.
• Hands-on and pragmatic; equally at home writing a Python data pipeline and demoing a working product.
• High standards for code quality, documentation, and maintainability in regulated environments.