Overview
Skills
Job Details
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Design, build, and maintain agentic workflows and autonomous AI systems
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Integrate and deploy LLM-based models into production-grade applications and services
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Collaborate with cross-functional teams (Data, Product, DevOps) to build end-to-end AI-powered business solutions
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Implement orchestration logic for multi-agent and multi-task systems
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Write clean, modular, and testable code while building scalable data and ML pipelines
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Monitor, evaluate, and optimize deployed AI systems for performance, cost-efficiency, and reliability
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Continuously stay updated with the latest advancements in LLMs, orchestration frameworks, and AI engineering best practices
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Strong foundation in AI/ML concepts, with proven experience in LLMs and prompt engineering
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Solid hands-on experience with AWS services for building and deploying AI-driven systems (e.g., SageMaker, Lambda, EC2, S3)
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Proficient in Python and experienced with development tools like JupyterHub, GitHub, and Visual Studio Code
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Familiarity with CI/CD pipelines and Infrastructure as Code (IaC) using Terraform
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Experience in building agentic workflows or multi-agent systems
AI Engineer with Prompt Engineering1AWS,CI/CD,LLM,Prompt Engineering,Artificial IntelligentN/AC2C,W-2,1099,C2H,Part Time,Full Time,Other,Intern,Pass Through,Contract,SOLUTIONS,Hourly,Contract to Perm,W2,Full Time - Profit Sharing,Sub-con,PermanentUnited States