[Remote] Platform Engineer
Note: The job is a remote job and is open to candidates in USA. Mindlance is seeking a highly skilled Senior Staff Software Engineer to design, build, and scale next-generation AI platforms and intelligent systems. The role involves developing production-grade AI applications and foundational infrastructure that support large-scale AI workloads across enterprise environments.
Responsibilities
- Design, develop, and maintain scalable software systems using C/C++, Python, Go, Rust, Node.js, and other modern programming languages
- Build advanced AI solutions including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, agentic AI systems, vector databases, and multi-agent architectures
- Research, design, and optimize high-performance AI workloads for CPU, GPU, and heterogeneous computing environments
- Develop internal platforms, SDKs, shared services, and infrastructure components that accelerate engineering productivity
- Create rapid prototypes and production-ready solutions while maintaining high standards of software quality and maintainability
- Design and implement inference serving platforms for deep learning and generative AI applications
- Establish engineering best practices for testing, debugging, CI/CD, automated deployments, monitoring, observability, incident management, and operational excellence
- Drive architecture reviews, technical strategy, and platform modernization initiatives
- Collaborate with data scientists, ML engineers, platform engineers, security teams, and product stakeholders to deliver enterprise-scale AI solutions
- Manage Kubernetes-based environments including cluster lifecycle management, version upgrades, service mesh administration, GitOps workflows, and Argo-based deployments
- Implement secure authentication and authorization mechanisms using SSO, OAuth2, OIDC, SCIM, and enterprise identity governance frameworks
Skills
- 5 Years min and AWS Certification
- Strong software engineering background with systems programming experience in languages like C/C++, Python, Go, Node, and Rust, plus solid fundamentals in data structures, algorithms, and concurrency
- Experience in rapid prototyping with Python, along with knowledge of software engineering principles and foundational computer science
- Familiarity with AI/ML development, including fine-tuning large language models, multi-agent systems, RAG pipelines, vector databases, and deep learning frameworks like TensorFlow and PyTorch
- Understanding of advanced compute and infrastructure topics such as GPUs, heterogeneous accelerators like cuda, modern inference serving, shared services, internal platforms, testing, CI/CD and Kubernetes
- Basic knowledge of identity and access management concepts, including SSO, OAuth/OIDC, SCIM, authentication protocols, access lifecycle management, and identity governance
- Master's in computer science, Artificial Intelligence, Machine Learning, Distributed Systems, platform engineering and developer experience (DevEx) or a related field
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