Senior Full Stack Developer at CLYMB CLINICAL LLC
Burlington, Massachusetts, USA -
Full Time


Start Date

Immediate

Expiry Date

07 Nov, 25

Salary

0.0

Posted On

08 Aug, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Version Control, Communication Skills, Django, Sprint Planning, Computer Science, Redux, Flask, Docker, Python

Industry

Computer Software/Engineering

Description

REQUIRED QUALIFICATIONS:

  • o 5–8 years of full stack development experience with Python and ReactJS.
  • o Strong backend expertise in Django, FastAPI, or Flask.
  • o Experience with frontend frameworks: ReactJS, Redux, modern JS/TS tooling.
  • o Proven experience integrating ML models or AI services into production applications.
  • o Experience working with RESTful APIs and microservices architectures.
  • o Participate in sprint planning, code reviews, and cross-functional team meetings.
  • o Familiarity with version control, CI/CD, Docker, and containerized deployments.
  • o Strong understanding of cloud platforms (preferably Azure).
  • o Excellent communication skills and ability to collaborate with cross-functional teams.

EDUCATION

Bachelor’s degree in Computer Science, Engineering, or equivalent experience.

EXPERIENCE

5 - 8 Year

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

PRIMARY JOB ROLE

We are looking for a Senior Full Stack Developer with experience in Python and ReactJS to lead AI-integrated application development. You will architect scalable systems, integrate machine learning models, and collaborate with cross-functional teams to deliver robust, production-ready features. This full-time, direct-hire role is ideal for engineers passionate about AI-driven innovation and performance-focused platforms.

RESPONSIBILITIES

  • o Architect and develop backend services in Python (Django, FastAPI, Flask).
  • o Build and maintain dynamic frontend interfaces in ReactJS.
  • o Integrate AI/ML models into production-grade web applications.
  • o Collaborate with AI teams to convert prototypes into scalable features.
  • o Work with cloud-based AI/ML platforms (e.g., AWS SageMaker, Azure ML, or custom deployment pipelines).
  • o Design RESTful APIs and handle data flow between AI services and the UI layer.
  • o Participate in feature planning, code reviews, sprint ceremonies, and documentation.
  • o Lead technical discussions around AI model inference, performance, and deployment best practices.
  • o Build and optimize CI/CD pipelines for ML-in-the-loop applications.
Loading...