13 Aug
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Weekday`
|
Mumbai
This role is for one of our clients
Industry: Design Services
Company Name: SlideXpress
Seniority level: Associate level
Min Experience: 2+ years
Location: Mumbai
JobType: full time
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.
Key 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.
Required Qualifications & Experience
- 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 clien
📌 Senior AI Engineer (Mumbai)
🏢 Weekday`
📍 Mumbai