Role Overview: We are looking for a Senior Engineer AI Platform to design, develop, and improve enterprisescale AI infrastructure and platform capabilities.

The role combines platform engineering, distributed systems, cloud infrastructure, and Generative AI/Agentic

AI, with a focus on building highly scalable, secure, resilient, and high-performance AI platforms.

Key Responsibilities
Design and develop enterprise-scale AI platform and infrastructure solutions.
Build highly available distributed systems using active-active and failover architectures.
Develop high-throughput, low-latency production services and APIs.
Design and manage cloud-native AI infrastructure across AWS and Kubernetes.
Build infrastructure supporting LLM and Agentic AI workloads.
Implement and optimise AI model serving and inference infrastructure.
Integrate AI platforms with enterprise applications and services.
Collaborate with architects, product managers, engineers, and business stakeholders.
Participate in code reviews and promote engineering best practices.
Implement secure coding,



testing, monitoring, and reliability practices.
Contribute to technology strategy, platform standards, and continuous improvement.

Technical Requirements
7+ years of software/platform engineering experience, including 5+ years working with enterprisescale platform or infrastructure architecture.
Robust experience with distributed systems, high availability, active-active architecture, and failover

patterns.
Expert-level proficiency in Python, particularly FastAPI and asynchronous programming; Go or Java

experience is also valuable.
Robust AWS experience, including:
EKS
Bedrock
IAM
Aurora
CloudFormation
GPU scheduling
Multi-tenancy
Solid knowledge of Kubernetes and containerised infrastructure.
Experience with service mesh technologies, particularly Istio and Envoy.
Hands-on experience with Generative AI and Agentic AI, including:
LangGraph / LangChain
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📌 Senior Engineer Ai Platform Bengaluru
🏢 Net Connect
📍 Bengaluru