Engineer, AI Platform

Jobtailor; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Jobtailor is seeking a backend-focused professional to design, build, and support enterprise AI platform capabilities in a cloud-native environment. You will develop services, APIs, SDKs, and automation patterns, and integrate with LLM services and AI gateways while adhering to enterprise security and governance.

The role emphasizes collaboration, documentation, and strong problem-solving skills, with hands-on Python and cloud tooling experience across Azure, CI/CD, and IaC.

Qualifications

• University or College education in Computer Science, Engineering, Data/Analytics, Business/Technology, Risk/Governance, or related field; equivalent experience considered
• 1-5 years of experience in building backend services, APIs, automation, cloud-native applications, or platform services
• Hands-on experience with Python and modern software engineering practices
• Experience with Azure, Azure DevOps or GitHub Enterprise, CI/CD, containers, Infrastructure as Code, logging, monitoring, and secure development practices
• Exposure to LLM application patterns, RAG, prompt orchestration, vector search, model evaluation, and AI observability is preferred
• JavaScript/TypeScript or Java/.NET is an asset
• Strong collaboration, documentation, problem solving, and operational support skills

Responsibilities

• Design, build, test, deploy, and support reusable enterprise AI platform capabilities
• Develop and maintain reusable AI platform services, APIs, SDKs, and automation patterns
• Implement integrations with approved LLM services, AI gateways, orchestration frameworks, vector/search services, and enterprise identity patterns
• Build and support CI/CD, infrastructure-as-code, automated testing, telemetry, and operational runbooks for AI platform components
• Partner with architecture, cybersecurity, data, privacy, and solution delivery teams to ensure platform capabilities meet enterprise controls
• Troubleshoot incidents, reliability issues, performance bottlenecks, access issues, and environment defects across development and test environments
• Document platform patterns, onboarding guidance, reusable components, and developer enablement material

Skills

Python programming

Problem solving

Collaboration

Documentation

Operational support

Education

Bachelor's degree in Computer Science or related field

Tools

Azure

Azure DevOps

GitHub Enterprise

Containers

Infrastructure as Code

Logging & monitoring

Job description

• Design, build, test, deploy, and support reusable enterprise AI platform capabilities
• Develop and maintain reusable AI platform services, APIs, SDKs, and automation patterns
• Implement integrations with approved LLM services, AI gateways, orchestration frameworks, vector/search services, and enterprise identity patterns
• Build and support CI/CD, infrastructure-as-code, automated testing, telemetry, and operational runbooks for AI platform components
• Partner with architecture, cybersecurity, data, privacy, and solution delivery teams to ensure platform capabilities meet enterprise controls
• Troubleshoot incidents, reliability issues, performance bottlenecks, access issues, and environment defects across development and test environments
• Document platform patterns, onboarding guidance, reusable components, and developer enablement material

Requirements

• University or College education in Computer Science, Engineering, Data/Analytics, Business/Technology, Risk/Governance, or related field; equivalent experience considered
• 1-5 years of experience in building backend services, APIs, automation, cloud-native applications, or platform services
• Hands-on experience with Python and modern software engineering practices
• Experience with Azure, Azure DevOps or GitHub Enterprise, CI/CD, containers, Infrastructure as Code, logging, monitoring, and secure development practices
• Exposure to LLM application patterns, RAG, prompt orchestration, vector search, model evaluation, and AI observability is preferred
• JavaScript/TypeScript or Java/.NET is an asset
• Strong collaboration, documentation, problem solving, and operational support skills

Core Competencies

Demonstrates expertise in building and maintaining enterprise AI platform capabilities, with a strong focus on backend services, APIs, and automation. Proficient in Python and familiar with Azure, CI/CD practices, and secure development methodologies.

Highest-signal resume keywords

• Python Programming
• CI/CD Implementation
• Azure DevOps
• API Development
• Infrastructure as Code

Hard Skills

• Backend Services Development
• Automation
• Cloud-Native Applications
• AI Platform Services
• Logging
• Monitoring
• Secure Development Practices
• JavaScript
• TypeScript
• Java

Soft Skills

• Collaboration
• Documentation
• Problem Solving
• Operational Support

Industry Keywords

• AI Platform
• LLM Services
• Prompt Orchestration
• Vector Search
• Model Evaluation
• AI Observability

Tools & Technologies

• Azure
• Azure DevOps
• GitHub Enterprise
• Containers
• Telemetry
• Operational Runbooks