Consultant/ Principle Software Engineer - AI Platform Engineer - Python + Agentic Framework+ Ku[...]

Societe Generale Global Solution Centre; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Societe Generale Global Solution Centre is seeking an experienced Senior AI Platform Engineer to lead the development of robust AI execution infrastructure. This role focuses on designing, building, and scaling high-performance platforms for concurrent AI agents.

The ideal candidate will have over 10 years of experience in software engineering with expertise in distributed systems, cloud infrastructure, and modern programming languages. The position offers opportunities for significant impact and development in a cutting-edge field.

Qualifications

• 10+ years of professional software engineering experience, focusing on cloud infrastructure.
• Proven expertise in developing and deploying distributed systems in a production environment.
• Expert-level proficiency in at least one modern programming language.

Responsibilities

• Design and implement core components of the AI platform.
• Develop and optimize distributed systems for low-latency agent execution.
• Automate deployment and monitoring with DevOps tools.

Skills

Distributed systems

Cloud infrastructure

Container orchestration

Networking optimization

API development

Tools

Kubernetes

AWS

Terraform

Python

Rust

Job description

We are looking for an experienced Senior AI Platform Engineer to join our team and lead the development of our core AI execution infrastructure. This role is central to our strategy, focusing on designing, building, and scaling a robust, high-performance platform capable of deploying and managing thousands of concurrent AI agents. You will be responsible for ensuring the platform provides reliability, observability, and cost-efficiency at scale.

What You Will Do

• Platform Architecture: Design and implement the core components of the AI platform, including runtime environments, distributed scheduling, and resource management systems (e.g., CPU/GPU compute clusters, autoscaling).
• Scalability & Performance: Develop and optimize distributed systems and microservices to handle massive scale and low-latency requirements for agent execution.
• Infrastructure Automation: Work closely with DevOps/SRE teams to automate deployment, scaling, and monitoring using technologies like Kubernetes, Terraform, and CI/CD pipelines.
• Agent Lifecycle: Implement APIs and services that manage the full lifecycle of an AI agent, from ingestion and registration to execution, monitoring, and versioning.
• Observability: Implement comprehensive logging, tracing, and metrics for all platform components to provide deep insights into agent behavior and system health.
• Best Practices: Drive best practices for code quality, security, and operational excellence within the platform engineering team.

Key Requirements

• 10+ years of professional software engineering experience, with a significant focus on cloud infrastructure and platform development.
• Mandatory: Proven expertise in developing, deploying, and scaling distributed systems (e.g., Kafka or HPC distributed compute frameworks) in a production environment.
• Expert-level proficiency in at least one modern programming language (e.g., Python, Rust).
• Deep practical experience with container orchestration (e.g., Kubernetes, Knative), cloud providers (e.g., Azure, AWS) and infra as code (Terraform).
• Solid understanding of networking, security, and performance optimization for data-intensive applications.
• Experience building high-throughput APIs (REST/gRPC) and developing platform service interfaces.

Bonus Points

• Prior experience in MLOps, LLMOps, or building systems specifically for running machine learning models or AI agents.
• Familiarity with agentic frameworks, large language models (LLMs), agent protocols (MCP, A2A) and their unique deployment challenges.
• Experience with high-performance computing (HPC) environments or GPU virtualization.
• Comes from an lead AI software company or a software company delivering LLM frameworks.