AI Automation Platform Engineer

Experity India

Bengaluru

On-site

INR 4,000,000 - 9,000,000

Full time

2 days ago
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Job summary

Experity India in Bengaluru seeks a senior, hands-on engineer who can build automation or AI/agent systems end-to-end with high autonomy on greenfield work, writing and shipping code personally.

The role requires deep cloud experience (AWS preferred) and proficiency with LLM/agent architectures, model selection, prompt engineering, and production-grade tooling.

You will contribute to advancing healthcare tech platforms, collaborate across teams, and help ensure scalable, reliable solutions.

Qualifications

  • Senior-level hands-on experience in building automation or AI/agent systems end-to-end.
  • Strong cloud engineering experience, AWS preferred.
  • Hands-on with LLM/agent architecture patterns; production experience essential.
  • Know how to select models based on capability, latency and cost.
  • Comfort with AI for code generation, debugging, refactoring and documentation.

Skills

Cloud engineering
AWS experience
LLM/agent architecture
Production-grade coding
Model selection
Prompt engineering
Code generation & debugging
Autonomy on greenfield

Job description

  • Senior-level, hands-on experience in building automation or AI/agent systems end-to-end — able to operate with high autonomy on greenfield build, writing/shipping code personally rather than delegate
  • Strong cloud engineering experience; AWS experience preferred, given Experity's existing AWS footprint, but not exclusionary — general cloud/LLM-architecture depth matters
  • Hands-on experience with LLM/agentic architecture patterns (orchestration, tool-use/function-calling, RAG where relevant) framework-agnostic; production experience is what matters, not any one specific stack.
  • Understand the difference between an AI product/tool, an LLM, and the underlying model
  • Know how to select the appropriate model for a task based on capability, latency, and cost
  • Understand the tradeoffs between models—for example, when to use Opus vs. Sonnet vs. Haiku, or comparable models from OpenAI and other providers
  • Be comfortable using AI for code generation, debugging, refactoring, codebase exploration, testing, and documentation
  • Know how to provide good context/prompts, validate AI-generated code, and recognize when not to rely on AI

Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

At Experity we're committed to changing on-demand healthcare for the better with innovative advancements that keep patients at the center of the solutions we build and the services we provide. We share that same level of commitment to providing a postive workplace where out team can develop and thrive to become leaders in the healthcare industry. At Experity we lift eachother up and put our teams first, encourage each other to share openly, and work together to set and crush our goals. United by these values, we know where we want to go and how to get there.

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