Job Title: AI/ML Engineer

– LLM Platform & Model Management (AWS/GCP)

Experience: +5 Years Location: Remote (U.S. Working Hours)

Start: Immediate Overview We are looking for an experienced AI/ML Engineer with strong expertise in LLM platforms, model deployment, and cloud-based ML infrastructure.

The ideal candidate will have hands-on experience with model hosting, versioning, and inference workflows across both AWS and GCP, with a focus on migrating and managing workloads between Amazon SageMaker and Google Vertex AI

. You will also work extensively with LLM APIs, multi-model routing systems, and AI-

driven document processing pipelines. Key Responsibilities Model Management &

Deployment

● Design, deploy, and manage ML models using Amazon SageMaker

● Lead migration of ML workloads from Google Vertex AI to AWS environments

● Implement model versioning, monitoring, and scalable inference pipelines

● Optimize model performance for both real-time and batch processing use cases LLM

Integration & Optimization

● Integrate and manage LLM APIs such as Google Gemini and models available via

Amazon Bedrock (Claude, Llama, Titan)

● Develop multi-model routing strategies, fallback mechanisms, and cost optimization workflows

● Conduct benchmarking and evaluation across models based on accuracy, latency,

and cost API Gateway & LiteLLM Implementation

● Deploy and configure LiteLLM as a centralized interface for multiple LLM providers

● Enable seamless switching between models and providers through unified APIs





● Integrate enterprise applications with LiteLLM for scalable AI consumption Cloud

Infrastructure & Security

● Deploy containerized AI services using Amazon ECS Fargate

● Manage secure access control using AWS Identity and Access Management (IAM)

● Build and maintain scalable, secure, and production-ready AI infrastructure Document

Processing & AI Workflows

● Develop AI-driven document processing pipelines leveraging LLM capabilities

● Evaluate and fine-tune models for document extraction, summarization, and classification

● Ensure high performance and cost-efficiency in document-centric AI solutions

Required Qualifications

● Bachelor's or Master's degree in Computer Science, Data Science, or a related field

● 5+ years of experience in AI/ML, and MLOp.

● Strong hands-on experience with Amazon SageMaker and Google Vertex AI

● Experience working with LLM APIs and foundation models

● Proficiency in deploying scalable services using containerization technologies

● Strong understanding of cloud security and access management principles Key Skills

● MLOps & LLMOps

● Model Deployment & Versioning

● API Integration & Gateway Design

● Cloud Computing (AWS, GCP)

● Containerization & Microservices

● AI-driven Document Processing Why Join Us

● Prospect to work on cutting-edge generative AI and LLM technologies

● Exposure to multi-cloud AI ecosystems and enterprise-scale deployments

● Collaborative and innovation-driven work environment

● Competitive compensation and growth opportunities

We are looking for professionals with strong hands-on expertise in:

📌 AI/ML Engineer (Uttar Pradesh)
🏢 Sparix Global
📍 Uttar Pradesh