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Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

officeDirect Career PageEst. 12–22 LPA

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Mid-level generalist skills, metro location, and broad required stack increase applicant competition.

Background Fit Sensitivity

(Moderate)

Backend and cloud skills transfer across industries, though LLM integration experience adds moderate specialization.

Shortlisting Strictness

(High)

Many non-negotiable technical requirements (Python, microservices, LLM APIs, cloud) create strict filtering.

Estimated fit based on your resume

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Structured overview of role & requirements

Design, develop, and maintain scalable Python backend services, REST APIs, and microservices for AI-driven applications.

Integrate and manage Large Language Model (LLM) APIs such as OpenAI, Gemini, Vertex AI, and Claude in production systems.

Implement event-driven architectures, containerize applications with Docker, and enhance platform scalability and reliability.

Strong proficiency in Python programming.

Experience with microservices architecture and event-driven design.

Practical knowledge of LLM APIs and cloud platforms (Google Cloud or AWS).

Work Experience Required: Not explicitly mentioned in the JD.

Backend engineer with hands-on experience integrating modern AI technologies and LLMs into scalable production systems.

Developer familiar with building reusable backend components, SDKs, internal frameworks, and maintaining engineering best practices.

Individual capable of collaborating with AI engineers and product teams for delivering AI-powered capabilities.