Full Stack AI Developer

Revvity

Full Stack AI Developer designing and developing AI-enabled applications for health solutions at Revvity. Collaborating with teams to build reliable systems and optimize performance.

Posted 7/17/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing AI-enabled applications, optimizing data pipelines, and implementing machine learning workflows. Proficient in writing clean, testable code while adhering to engineering standards for performance and security.

Highest-signal resume keywords

Python ProgrammingMachine Learning FrameworksData EngineeringAPI DevelopmentCloud Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringData Pipeline OptimizationMachine Learning WorkflowsETL/ELT ProcessesVersion Control

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

APIsDatabasesContainerizationDeployment Practices

Industry Keywords

AI-Enabled ApplicationsPerformance TuningData Quality Checks

Tech Stack

Tools & technologies

CloudETLJavaPython

About the role

Key responsibilities & impact

Design, develop, and maintain AI-enabled applications and services using modern software engineering practices.
Build and optimize data pipelines and machine learning workflows that improve performance, reliability, and usability.
Collaborate with product and engineering partners to translate requirements into clear technical solutions.
Write clean, testable code and help establish engineering standards for performance, security, and maintainability.
Monitor deployed systems, troubleshoot issues, and iterate based on real-world feedback and metrics.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
Strong programming skills in at least one modern language such as Python, Java, or C#.
Experience building software services using APIs, databases, and version control.
Experience with machine learning or AI frameworks and developing production ML workflows (preferred).
Familiarity with cloud services, containerization, and deployment practices (preferred).
Experience with data engineering tasks such as ETL/ELT, data quality checks, and performance tuning (preferred).

Benefits

Comp & perks

Experience personalized career journeys with growth-oriented development opportunities.
Engage in purpose-driven work that makes a positive impact on society.
Be part of a values-driven culture that encourages collaboration and fresh ideas.