Senior AI/ML Engineer

Carrier

. Design, develop, and maintain software applications using modern programming languages and frameworks .

Posted 11/5/2026full-timeHyderabad • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing AI/ML-enabled software applications, with a strong focus on Python, React, Node.js, and FastAPI. Proficient in cloud-native architectures, containerization technologies, and Agile methodologies to enhance productivity and quality.

Highest-signal resume keywords

Generative AI ExperiencePython ProficiencyContainerization with DockerCloud-Native Architecture KnowledgeAgile/Scrum Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonReactNode.jsFastAPIAPI DevelopmentMicroservicesUnit TestingIntegration TestingSDLC AutomationTroubleshooting

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

DockerKubernetesGithubMLOpsDevOps

Industry Keywords

AI/ML SolutionsAutomation WorkflowsEngineering Best PracticesQuality AssuranceContinuous Improvement

Tech Stack

Tools & technologies

CloudDockerJavaScriptKubernetesMicroservicesNode.jsPythonReactSDLC

About the role

Key responsibilities & impact

Design, develop, and maintain software applications using modern programming languages and frameworks
Contribute to AI/ML-enabled solutions, integrations, and automation workflows
Participate in requirements analysis, design reviews, coding, testing, and deployment activities
Develop APIs, microservices, and cloud-native applications
Create unit tests and integration tests and support quality assurance activities
Troubleshoot and resolve application issues while ensuring system reliability and performance
Collaborate with global teams and contribute to Agile/Scrum ceremonies
Maintain technical documentation and follow engineering best practices
Support continuous improvement initiatives related to productivity, quality, security, and DevOps

Requirements

What you’ll need

Experience with Generative AI, LLMs, LangChain, RAG, or AI agents
Experience with Github/Anthropic skills, evals, and logging frameworks
Knowledge of Python, React, Node.js, and FastAPI
Experience with containerization technologies such as Docker and Kubernetes
Exposure to DevOps, MLOps, and cloud-native architectures
Understanding of SDLC automation and engineering productivity tools

Benefits

Comp & perks

Competitive total rewards package
Benefits and well-being programs that support employees’ health, security, and success
Reasonable accommodation support during the hiring process