Senior AI Platform Software Engineer

Role: Senior AI Platform Software Engineer
Location: Hyderabad, (Hybrid 3 days in a week)

Summary:

We are looking for a Senior AI Platform Software Engineer to lead the evolution of our enterprise AI Operations Platform for a leading AAA Gaming organization. This role combines technical leadership with hands-on engineering and focuses on building scalable AI infrastructure, backend platforms, and cloud-native systems that enable Generative AI solutions at production scale.

You will own platform architecture, establish engineering standards, mentor engineers, and drive the development of reliable, secure, and highly scalable AI platform capabilities.

Responsibilities:

• Lead the architecture, design, and scalability of the AI Operations Platform.
• Define and enforce engineering standards, architectural best practices, and platform governance.
• Design, develop, and maintain large-scale backend services and distributed systems using Python.
• Build reusable APIs, microservices, and event-driven architectures.

• Develop and enhance AI platform capabilities, including:

• Retrieval-Augmented Generation (RAG)
• Prompt management
• LLM integrations
• Hallucination detection
• AI model versioning

• AI evaluation and benchmarking frameworks

• Build integrations with enterprise applications, cloud services, and internal developer platforms.
• Improve platform reliability through observability, monitoring, logging, alerting, and automated quality assurance.
• Design and manage CI/CD pipelines using GitLab CI/CD, ArgoCD, and containerized deployment workflows.
• Deploy and manage cloud-native applications on Kubernetes/EKS.
• Collaborate with globally distributed engineering teams to define technical roadmaps and delivery plans.
• Mentor engineers through architecture reviews, design discussions, code reviews, and technical coaching.
• Drive production readiness, operational excellence, security, and platform resilience.

Required Skills:

• 10-12 years of software engineering experience building and operating: Large-scale backend platforms, distributed systems, developer platforms, enterprise internal tools, automation platforms - Previous experience programming from scratch with Python as well as doing feature enhancements
• 2+ years of practical Generative AI experience, including: Building and shipping AI-powered applications, LLM integrations, RAG architectures, vector databases, hybrid search, and building and implementing chatbots
• Experience implementing ArgoCD, GitLab CI/CD, understanding of how containers are built, and deployment automation
• Familiarity with EKS and cloud-native application deployment
• Experience designing secure enterprise integrations with strong focus on: Identity management, permissions, auditability, security, operational safety - Demonstrated ability to influence technical direction and mentor engineering teams
• Bachelors degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience

Nice to have:

• Deep understanding of: Kubernetes, API design and architecture, event-driven systems, message queues, PostgreSQL and data storage systems, caching technologies, CI/CD pipelines, telemetry and distributed tracing
• Strong understanding of reliability and resiliency patterns including: Retries, idempotency, circuit breakers, rate limiting, asynchronous processing, failure isolation, incident response