About This Role

Qualification: Bachelor's Degree in Computer Science

Experience: 4 to 7 Years

Job Location: Bangalore

Job Detalis

We’re looking for a hands-on engineer who can turn cutting edge research into reliable, scalable systems. You’ll own the operational backbone for agentic AI, building, running and optimising a fleet of Model Context Protocol (MCP) servers that power enterprise grade AI agents. If you thrive on open ended problems, love to collaborate, and feel energised by getting to the root cause of tough issues, we’d love to meet you.

Responsibilities
Develop and maintain a self-hosted MCP server stack
Aggregate multiple MCP servers into a single unified endpoint
Implement robust load-balancing (similar to Nginx) to distribute traffic efficiently
Monitor, profile and tune agent latency and throughput
Automate deployment pipelines, CI/CD and rollback procedures
Introduce observability (metrics, tracing, alerting) across the MCP estate
Dig deep into production issues,



perform root-cause analysis and drive long-term fixes
Champion post-mortems and share learnings with the team
Partner with research, product and security teams to evolve our agentic AI platform
Brainstorm, prototype and iterate on recent ideas and tooling

Required Skills and Experience
Bachelor’s degree in Computer Science or demonstrably equivalent practical experience
Solid knowledge of AI-agent architectures and the Model Context Protocol
Proficiency in at least one scripting (Python/Bash)
Proven track record of building or operating distributed back-end systems (micro-services, message queues, load balancers)
Comfortable taking the initiative and able to identify the next step without waiting for direction
Explicit, empathetic communicator who enjoys brainstorming and pair design sessions

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