Developer - AI Agentic

Slidexpress; Mumbai; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Slidexpress is seeking a hands-on Senior AI Engineer to design, develop, and deploy agentic AI and multi‑agent systems that run on client infrastructure while powering our internal products.

You will lead MCP server deployments, architect production‑grade agent services, and drive integration with data lakes, APIs, and security frameworks across on‑prem, private cloud, and hybrid environments.

Qualifications

• Proven hands-on experience designing agentic AI and multi-agent workflows.
• Experience deploying MCP servers and agent orchestration platforms.
• Strong background in deploying AI solutions across Azure, AWS, GCP, on‑prem, and Kubernetes.
• Solid understanding of MLOps, CI/CD for AI, and monitoring in production.

Responsibilities

• Design, build, and optimize Multi-agent Systems and Agentic AI architectures that deliver measurable business outcomes.
• Develop agentic workflows to automate complex, multi-step processes across domains (finance, operations, customer support, data engineering).
• Architect and implement production-grade Agentic AI services for on-prem, private cloud, or hybrid deployments.
• Lead the deployment of MCP servers and agent orchestration layers across cloud and data platforms (Azure, Databricks).
• Integrate agents with enterprise systems, data lakes, APIs, and security frameworks without stack replacement.
• Evaluate and integrate latest Agentic AI frameworks, memory systems, tool-use patterns, and reasoning engines.
• Collaborate with client engineering teams to productionize custom agents that operate securely within client environments.

Skills

Agentic AI

Multi-agent Systems

MLOps

CI/CD for AI

Cloud deployment

Security frameworks

Tools

Azure

AWS

GCP

Databricks

Kubernetes

Job description

Job Title: Senior AI Engineer

Role Overview

We are looking for a hands-on, deeply passionate Agentic AI Engineer who will help us turn cutting-edge Agentic AI and Multi-agent Systems into real-world value by designing, developing, and deploying intelligent agent solutions that run seamlessly on our clients existing infrastructure while also powering our own internal product offerings.

Role & responsibilities

• Design, build, and optimize Multi-agent Systems and Agentic AI architectures that deliver measurable business outcomes.
• Develop agentic workflows to automate complex, multi-step processes across domains (finance, operations, customer support, data engineering, etc.).
• Architect and implement production-grade Agentic AI services that clients can deploy on their own infrastructure (on-prem, private cloud, or hybrid).
• Lead the deployment of MCP servers and related agent orchestration layers on multiple cloud and data platforms, with deep expertise in Azure and Databricks.
• Integrate agents with existing enterprise systems, data lakes, APIs, and security frameworks without requiring clients to rip-and-replace their stack.
• Continuously evaluate and integrate the latest Agentic AI frameworks, memory systems, tool-use patterns, and reasoning engines (ReAct, Plan-and-Execute, multi-agent collaboration protocols, etc.).
• Collaborate with client engineering teams to co-create and productionize custom agents that operate securely within their environments.

Preferred candidate profile

• Proven track record of developing agentic workflows that automate end-to-end business processes.
• Strong experience with deployment of MCP servers and agent orchestration platforms.
• Experience deploying Agentic AI solutions across multiple platforms (Azure, AWS, GCP, on-prem, Kubernetes) and making them work reliably in client-controlled environments.
• Solid understanding of MLOps, CI/CD for AI, monitoring