AI Platform Engineer

Lever, Inc.

India

Remote

INR 1,200,000 - 1,800,000

Full time

30 hours ago
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Benefits offered by this job

Fully remote work from India
12-month contract
Exposure to scalable AI/LLM platform
Hands-on with cloud services, MLOps,CI

Job summary

Lever, Inc. seeks an AI Platform Engineer based in India to design and operate a scalable AI platform. You will develop platform services, APIs, SDKs, and ML/LLM pipelines, enabling production-ready AI capabilities in a fully remote setup.

You will work across cloud infrastructure, MLOps, and governance, ensuring secure, compliant, and reliable AI environments while turning experimental workflows into robust production systems. This is a 12-month contract.

Qualifications

  • Bachelor's degree in a relevant technical field or equivalent professional experience.
  • 2-4 years of experience in AI/ML, MLOps, platform engineering, or related discipline.
  • Working knowledge of major cloud service platforms and cloud-based infrastructure.

Responsibilities

  • Design, develop, and maintain platform services, APIs, and SDK components.
  • Build and operate ML and LLM pipelines (data ingestion, feature preparation, training).
  • Integrate AI workflows into production-ready pipelines, including vector databases.
  • Develop orchestration components to support reasoning workflows and memory stores.
  • Deploy predictive and machine learning models into scalable serving environments with autoscaling.
  • Implement runtime monitoring and operational practices for reliable AI services.
  • Standardize and automate environment creation using infrastructure-as-code modules.
  • Implement CI/CD practices that support repeatable deployment workflows.
  • Apply security and compliance controls in collaboration with governance teams.
  • Contribute to reliability, scalability, and maintainability of the AI platform.

Skills

AI/ML fundamentals
MLOps practices
Problem-solving
Remote collaboration

Education

Bachelor’s degree in a relevant technical field

Tools

Infrastructure as Code
CI/CD pipelines
Cloud platforms
Python

Job description

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.
Requirements:
  • 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.
Benefits:
  • 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
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