AI/ML Engineer

We are seeking a highly experienced AI/ML Engineer to design, develop, deploy, and scale enterprise-grade AI/ML solutions. The ideal candidate will have a strong background in Software Engineering, Data Engineering, or Solution Architecture, combined with hands-on expertise in Generative AI, Agentic AI, Predictive AI, and cloud-based AI platforms. This role requires extensive experience building production-ready AI applications, backend services, and AI/ML platforms leveraging AWS technologies., Design, develop, and deploy scalable AI/ML solutions for enterprise applications. Build and maintain Generative AI and Agentic AI applications using modern AI frameworks and cloud services. Develop backend APIs and microservices using Python and FastAPI. Implement and optimize AI/ML pipelines for model training, deployment, monitoring, and lifecycle management. Integrate Large Language Models (LLMs) into business applications and enterprise workflows. Leverage AWS Bedrock and Amazon SageMaker for AI solution development and deployment. Establish and maintain CI/CD pipelines and MLOps best practices for AI/ML workloads. Monitor AI systems using observability and performance monitoring platforms. Collaborate with engineering, architecture, data, and business teams to deliver enterprise AI solutions. Ensure AI applications meet scalability, security, reliability, and performance requirements. Support AI platform development initiatives and enterprise AI modernization efforts., W2 Only Opportunity. No Corp-to-Corp (C2C) candidates. Looking for candidates with strong enterprise AI/ML implementation experience. Candidates should have hands-on expertise in Generative AI, Agentic AI, and AWS AI services. Experience in production-grade AI deployments is highly preferred.

Mandatory Skills Python FastAPI Generative AI Large Language Models (LLMs) Agentic AI Predictive AI AWS Bedrock Amazon SageMaker AI/ML Platform Development Backend API Development CI/CD Pipelines GitHub Copilot (or similar AI coding tools) Splunk Datadog Arize Galileo Software Engineering Data Engineering Solution Architecture

10+ years of experience in Software Engineering, Data Engineering, or Solution Architecture. 3+ years of hands-on experience designing and deploying AI/ML solutions. Strong expertise in Python development. Experience with FastAPI and backend API development. Hands-on experience with Generative AI applications and frameworks. Strong understanding of Large Language Models (LLMs). Experience building Agentic AI solutions and intelligent agents. Experience with Predictive AI models and AI-driven business solutions. Hands-on experience with AWS Bedrock and Amazon SageMaker. Strong background in AI/ML Platform Development. Experience building scalable backend services and APIs. Experience implementing CI/CD Pipelines for AI/ML workloads. Experience using GitHub Copilot or similar AI-assisted development tools. Hands-on experience with observability and monitoring tools including: Splunk Datadog Arize Galileo Similar AI monitoring and observability platforms

Preferred Qualifications Experience designing and implementing enterprise-scale AI platforms. Strong understanding of MLOps frameworks and AI governance practices. Experience with cloud-native architectures and distributed systems. Familiarity with AI observability, model monitoring, and drift detection. Experience integrating AI solutions into large-scale enterprise environments. AWS Certifications and/or AI/ML-related certifications preferred. Experience working with enterprise AI adoption and transformation initiatives.

Soft Skills Strong analytical and problem-solving abilities. Excellent verbal and written communication skills. Ability to collaborate effectively across cross-functional teams. Strong stakeholder management and leadership skills. Self-motivated with the ability to work independently. Ability to manage multiple priorities in a fast-paced environment. Strong organizational and decision-making capabilities.