AI Software Engineer

AbhiDoc

AbhiDoc is a next-generation digital healthcare platform on a mission to revolutionize patient–doctor interactions through AI-driven diagnostics, intuitive virtual assistants, and data analytics. We make healthcare seamless by securely centralizing medical records, offering teleconsultations, and delivering proactive health alerts. Join us as a founding member of our engineering team and help build the future of digital health.

Role Overview

AI Software Engineer

Key Responsibilities

Model Development & Experimentation

• Assist in developing and training machine learning models (e.g., classification, regression) using Python libraries such as scikit-learn or TensorFlow.
• Participate in data preprocessing: cleaning, normalization, and feature engineering for healthcare datasets.

Application Integration

• Help integrate trained models into microservices built with FastAPI or Flask.
• Write client-side code (Python or JavaScript) to call our AI APIs and process responses.

Testing & Validation

• Write unit tests for data pipelines and model inference code.
• Validate model performance on test datasets and assist in error analysis.

Field Operations Support

• Assist in deploying and configuring our software stack on-site at hospitals and clinics.
• Troubleshoot and resolve technical issues in collaboration with clinical IT staff.
• Collect performance metrics and user feedback to inform product improvements.

Collaboration & Documentation

• Contribute to Agile ceremonies: daily stand-ups, sprint planning, and retrospectives.
• Document code, deployment procedures, and operational checklists using Markdown or UML.

Learning & Growth

• Shadow senior engineers on code reviews, deployments (Docker, Kubernetes), and CI/CD pipeline configuration (GitHub Actions).
• Stay up to date on AI/ML best practices and emerging trends in digital healthcare.

Required Qualifications

• Education:

   Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field, completed within the last 12 months.

• Programming Skills:

• Proficient in Python; familiarity with at least one ML framework (scikit-learn, TensorFlow, or PyTorch).
• Basic understanding of RESTful APIs and experience with a web framework (Flask or FastAPI).

• Projects / Internships:

• Academic or personal projects demonstrating end-to-end ML workflows (data ingestion → model training → deployment).
• Internship experience in software development or data analytics is a plus.

• Field Readiness:

• Willingness to travel to partner hospitals and clinics for on-site support and deployment.

• Soft Skills:

• Strong problem-solving aptitude and willingness to learn.
• Clear written and verbal communication.

Preferred Qualifications

• Familiarity with using AI technologies.
• Introductory knowledge of deploying web/Android applications.
• Experience with version control (Git) in a team setting.
• Basic exposure to cloud platforms (AWS, Azure, or GCP).

Why Join AbhiDoc?

• Meaningful Impact:

   Build solutions that directly improve patient care and clinical workflows.

• Mentorship & Development:

   Pair with senior engineers, attend workshops, and access our learning stipend.

• Innovative Culture:

   Work in a diverse, supportive team that values creativity and growth.

• Salary of up to 6L per annum.