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Open nowPosted 11 hours ago

AI Platform Engineer

Jobgether3,739 open roles

Where
India
Work mode
Remote
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Your applicationOpen nowAI Platform EngineerJobgether · India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Jobgether's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. Jobgether postings stay open a median of 6 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 34.0%30 days
This job: posted 11 hours ago

Jobgether median: 6 days open

The posting

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Platform Engineer based in India.

This role focuses on building and operating the foundational platform that enables scalable, secure, and production-ready AI capabilities. You will develop platform services, APIs, SDKs, and pipelines supporting machine learning and large language model development. The position combines AI/ML engineering with MLOps, cloud infrastructure, automation, and platform reliability. You will help turn experimentation and development workflows into robust production systems, including retrieval and vector-based applications. The role also involves deploying models with autoscaling, runtime monitoring, and standardized infrastructure provisioning. You will contribute to secure and compliant AI environments while collaborating with governance and technical stakeholders. This is a 100% remote, 12-month contract opportunity for professionals based in India.

Accountabilities

  • Design, develop, and maintain platform services, APIs, and SDK components that support machine learning and LLM development.
  • Build and operate ML and LLM pipelines covering data ingestion, feature preparation, training, and related development workflows.
  • Integrate AI workflows into production-ready pipelines, including document retrieval systems and vector databases.
  • Develop orchestration components to support reasoning workflows and memory stores.
  • Deploy predictive and machine learning models into scalable serving environments with autoscaling capabilities.
  • Implement runtime monitoring and operational practices to maintain reliable AI services.
  • Standardize and automate environment creation using infrastructure-as-code modules.
  • Implement CI/CD practices that support efficient and repeatable deployment workflows.
  • Apply appropriate security and compliance controls in collaboration with governance teams.
  • Contribute to the reliability, scalability, and maintainability of the overall AI platform.
  • Bachelor's degree in a relevant technical field or equivalent professional experience.
  • 2–4 years of experience in AI/ML, MLOps, platform engineering, or a closely related discipline.
  • Working knowledge of major cloud service platforms and cloud-based infrastructure.
  • Practical experience with infrastructure as code and CI/CD pipelines.
  • Proficiency in at least one programming language and familiarity with machine learning frameworks.
  • Understanding of machine learning and large language model development workflows.
  • Experience working with production-oriented AI/ML systems, pipelines, or platform services.
  • Familiarity with retrieval workflows, vector databases, model serving, or AI orchestration is beneficial.
  • Strong problem-solving and troubleshooting skills, with an ability to work across application and infrastructure layers.
  • Ability to work effectively in a fully remote environment and communicate clearly with technical and cross-functional stakeholders.
  • 100% remote work from anywhere in India.
  • 12-month contract opportunity.
  • Opportunity to work on scalable AI and LLM platform infrastructure.
  • Hands-on exposure to cloud services, MLOps, infrastructure as code, CI/CD, and machine learning frameworks.
  • Opportunity to contribute to production-grade AI systems, including model serving, retrieval, vector databases, and orchestration.
  • Experience working on security, compliance, scalability, and platform reliability challenges

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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