DIRECT END CLIENT REQ : Software Engineer - Remote role
Sanjay Gunnam
Hi,
I hope you are doing great!
This is Sanjay from Dynamic Enterprise Solutions. We have an urgent requirement from one of our direct clients (No hidden layers). Please review the job description below and let me know your interest
Title: Software Engineer
Location: Remote role
Duration: 6 Months
Position Summary
We are seeking a highly skilled Senior Staff Software Engineer to design, build, and scale next-generation AI platforms and intelligent systems. The ideal candidate will possess strong software engineering fundamentals, deep expertise in distributed systems, cloud-native infrastructure, machine learning platforms, and operational excellence. This role involves developing production-grade AI applications, shared services, internal platforms, and foundational infrastructure that support large-scale AI workloads across enterprise environments.
Key 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
|
Thanks & Regards, |
|||||||||||||||||||||
|
|||||||||||||||||||||
