AI Platform Engineer
Mode of Hiring: Contract Workforce (CW)
Experience: 6+ Years
Location: Bangalore – Hybrid, 3 Days WFO
CTC: Up to 20 LPA
Payroll: Haparz
Role Overview
We are looking for an experienced AI Platform Engineer to build and support production-grade platforms for AI/LLM applications. The role requires strong hands-on experience in Python, LLM orchestration, agentic AI patterns, prompt engineering, API development, and modern CI/CD practices.
Roles & Responsibilities
- Develop and maintain production-grade Python applications for AI/LLM platforms, with emphasis on scalable and maintainable engineering practices.
- Build and integrate LLM-powered workflows using orchestration frameworks such as LangGraph, LangChain, GitLab, AWS Bedrock, or Cortex.
- Design and implement AI agent workflows, including agent loops, state machines, ReAct patterns, tool calling, and multi-step reasoning workflows.
- Engineer prompts systematically with version control, testing, evaluation, and continuous improvement.
- Build and maintain CI/CD pipelines for AI applications, platform components, and deployment workflows; strong GitLab experience is preferred.
- Work with GitLab pipelines, runners, environments, automation, and security controls where applicable.
- Design and develop scalable REST APIs using appropriate Python frameworks and document APIs using OpenAPI/Swagger.
- Integrate AI services, external systems, tools, and enterprise APIs into production workflows.
- Implement automated testing, deployment validation, monitoring, and quality controls for AI/LLM applications.
- Follow DevSecOps practices covering secure development, CI/CD automation, secrets management, dependency security, and deployment governance.
- Collaborate with AI engineers, developers, DevOps teams, architects, and product stakeholders to deliver reliable AI platform capabilities.
Candidate Profile
- 6+ years of software/platform engineering experience with strong hands-on development exposure.
- Strong production-grade Python development experience; notebook-only Python experience is not sufficient.
- Practical experience with one or more LLM orchestration frameworks/platforms, such as LangGraph, LangChain, AWS Bedrock, GitLab AI capabilities, or Cortex.
- Good understanding of Agentic AI concepts, including agent loops, state machines, ReAct patterns, tool calling, and workflow orchestration.
- Experience treating prompt engineering as an engineering discipline, including prompt versioning, testing, evaluation, and optimization.
- Strong understanding of CI/CD and deployment automation; GitLab CI/CD is highly preferred.
- Experience designing and consuming REST APIs, with knowledge of OpenAPI/Swagger specifications.
- Good understanding of cloud, containers, security, automation, and DevSecOps practices.
- Ability to work in a production engineering environment and collaborate across AI, platform, DevOps, and development teams.
Work Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka
