Senior Software Engineer – AI Application Development & Operations

BuildxPartners

Chennai District

On-site

INR 2,800,000 - 5,500,000

Full time

14 days+

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Job summary

BuildxPartners invites an accomplished Senior Software Engineer for AI Application Development & Operations across Mumbai, Pune, Chennai, Bengaluru, and Hyderabad. The role focuses on transforming AI/ML proof-of-concept models into scalable production apps on Azure, with emphasis on secure, observable deployments.

You will build containerized AI microservices, implement robust CI/CD, and partner with Data Science, Infra, and Business teams to align AI solutions with strategic goals.

Qualifications

  • 8–14 years of experience in Software Engineering and Application Development.
  • Strong expertise in Python programming.
  • Hands-on experience in AI/ML application development and deployment.
  • Strong understanding of MLOps and productionizing Machine Learning models.
  • Experience working with Azure Cloud infrastructure and services.
  • Expertise in CI/CD pipeline implementation and DevOps practices.
  • Hands-on experience with Docker and containerized applications.
  • Strong experience in API design, development, and integration.
  • Understanding of AI/ML lifecycle including deployment, monitoring, scaling, and maintenance.
  • Experience with Git, version control, branching strategies, and release management.

Responsibilities

  • Transition AI and ML proof-of-concept models into production-ready applications.
  • Design, develop, deploy, and maintain AI applications on Azure Cloud infrastructure.
  • Build and manage CI/CD pipelines for AI/ML workloads.
  • Monitor application performance, reliability, scalability, and security.
  • Develop and maintain containerized AI microservices using Docker and Azure Container Services.
  • Implement software engineering best practices including modular design, automated testing, and version control.
  • Establish AI application lifecycle management processes including deployment, rollback strategies, and observability.
  • Develop and integrate APIs for AI model serving and enterprise application integration.
  • Manage AI endpoints, ensuring secure access, monitoring, and scalability.
  • Collaborate with Data Science, Infrastructure, and Business teams to align AI solutions with organizational goals.
  • Drive continuous improvement of AI development and operational processes.

Skills

Python
AI/ML development
Azure
CI/CD
Docker
APIs
DevOps
Git
Debugging
Communication

Education

Bachelor’s or Master’s Degree in CS/Engineering/IT

Tools

Azure Container Services
Docker
PyTorch
LangChain

Job description

Senior Software Engineer – AI Application Development & Operations

Chennai City Corporation, India | Posted on 12/06/2026

  • Other Locations Bangalore; Hyderabad; Mumbai; Pune
About Us

BuildxPartners is a global talent solutions firm delivering end-to-end recruitment and workforce solutions across industries and geographies.

BuildxAlpha - Executive & Leadership Search Focused on C-suite, board, and global executive hiring.

BuildxSigma - Comprehensive Talent Across Levels Covering junior, mid-level, and senior professionals.

BuildxGCC - Global Capability Center Solutions Specializing in Build, Operate, Transfer (BOT) model for Global Capability Centers, GCC supports companies in setting up, scaling, and transferring GCCs.

Job Description

Job Title: Senior Software Engineer – AI Application Development & Operations Experience: 8–14 Years Location: Mumbai / Pune / Chennai / Bangalore / Hyderabad

Key Responsibilities
  • Transition AI and Machine Learning proof-of-concept models into scalable, secure, and production-ready applications.
  • Design, develop, deploy, and maintain AI applications on Azure Cloud infrastructure.
  • Build and manage CI/CD pipelines for AI and machine learning workloads.
  • Monitor application performance, reliability, scalability, and security.
  • Develop and maintain containerized AI microservices using Docker and Azure Container Services.
  • Implement software engineering best practices including modular design, automated testing, and version control.
  • Establish AI application lifecycle management processes including deployment, rollback strategies, and observability.
  • Develop and integrate APIs for AI model serving and enterprise application integration.
  • Manage AI endpoints, ensuring secure access, monitoring, and scalability.
  • Collaborate with Data Science, Infrastructure, and Business teams to align AI solutions with organizational goals.
  • Drive continuous improvement of AI development and operational processes.
Required Skills
  • 8–14 years of experience in Software Engineering and Application Development.
  • Strong expertise in Python programming.
  • Hands-on experience in AI/ML application development and deployment.
  • Strong understanding of MLOps and productionizing Machine Learning models.
  • Experience working with Azure Cloud infrastructure and services.
  • Expertise in CI/CD pipeline implementation and DevOps practices.
  • Hands-on experience with Docker and containerized applications.
  • Strong experience in API design, development, and integration.
  • Understanding of AI/ML lifecycle including deployment, monitoring, scaling, and maintenance.
  • Experience with Git, version control, branching strategies, and release management.
  • Strong troubleshooting, debugging, and problem-solving skills.
  • Excellent communication and stakeholder management skills.
Preferred Skills
  • Experience with PyTorch, Scikit-learn, and other Machine Learning libraries.
  • Knowledge of Azure Container Services and cloud-native architectures.
  • Exposure to frontend development technologies.
  • Experience with LangChain, LlamaIndex, or other LLM frameworks.
  • Knowledge of AI observability and monitoring tools.
  • Experience working in Agile and cross-functional global teams.
Eligibility / Qualifications
  • Bachelor’s or Master’s Degree in Computer Science, Engineering, Information Technology, or a related technical discipline.
Other Details

Notice Period: Immediate to 30 Days Preferred

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