Platform Engineer

Algoleap • Science & Engineering • Engineering Services • 1 day ago
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Salary
≈ $11k – $29k per year (Estimated)
Location
In office (Mumbai)
Seniority
Middle · 4+ years exp

First seen by Alion on Sep 30, 2026.

Overview
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Profile match

Algoleap

Algoleap is a Hyderabad-based digital product engineering and AI services firm offering software engineering, AI solutions, data, cloud and DevOps, automation and technology advisory to enterprises. Operating as Algoleap Technologies Pvt Ltd from HITEC City in Hyderabad, with a US address in Plainfield, Illinois, it works in heavily regulated industries on client lifecycle management, sustainable finance, data strategy and cloud adoption, and runs Algoleap Digital Studios. Its openings, mostly in Hyderabad and Bengaluru, include .NET, FileNet, Salesforce and backend developers, AI engineers, data scientists and architects, Kubernetes and Azure engineers and database administrators.
algoleap.com • HQ: Hyderabad, India • Engineering Services • Science & Engineering • 1001-5000 employees
Tech stack of Algoleap

Experience : 4 - 10 Years.

Role Overview :

Responsible for building and integrating backend/platform components for the AI agent layer, focusing on guardrails, semantic caching, MCP-based tool governance, and application integrations.

Key Responsibilities :

- Design and implement AI/agent guardrails and policy enforcement layers.

- Develop semantic caching mechanisms to improve performance and reduce redundant model calls.

- Implement MCP-based tool governance, access controls, and policy enforcement.

- Build and test integration points across four applications.

- Develop scalable backend APIs and platform services.

- Write unit, integration, and end-to-end tests.

- Troubleshoot integration, performance, and production issues.

- Collaborate with architects and application teams to ensure secure and reliable integrations.

Required Skills :

- Implement guardrails, semantic caching, and MCP-based tool governance for the agent layer; build and test the integration points across all four applications.

- Mixed seniority because the guardrail and MCP governance work needs someone who has designed policy layers before, while the integration surface is well-defined build work.

Skills

API, Artificial Intelligence, Backend Architecture, Agentic AI, Application Integration

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