Agentic AI Engineer and Deployment

Position: Agentic AI Engineer

Location: Dallas, TX (Day 1 Onsite)

The client is looking for an experienced Agentic AI Engineer with a strong background in designing, building, and deploying enterprise-scale, production-grade AI systems. This is not a chatbot development role.

The ideal candidate should have hands-on experience building large-scale AI applications that can support high traffic, high concurrency, and enterprise workloads. For example, the candidate should have experience designing systems capable of handling thousands of concurrent requests while maintaining high availability, low latency, scalability, and reliability.

Key Requirements

• 10+ years of software development experience using Python, C/C++, Go, or Java, with strong expertise in building and maintaining large-scale Python applications.

• 3+ years of experience designing, deploying, monitoring, and maintaining production ML systems, including model serving, evaluation, monitoring, data pipelines, and model fine-tuning.

• Hands-on experience with LLMs, including API integration, prompt engineering, RAG (Retrieval-Augmented Generation), vector databases, function calling, secure tool execution, and AI agent frameworks.

• Experience working with commercial and open-source LLMs such as OpenAI, Gemini, Claude, Llama, and Qwen.

• Strong knowledge of distributed systems, cloud-native architecture, applied machine learning, data structures, algorithms, and scalable software engineering.

• Experience deploying AI applications on AWS, including ECS/EKS, Lambda, SageMaker, S3, DynamoDB, Redshift, Step Functions, Terraform, and CloudFormation.

Important: The client is specifically seeking engineers who have built and deployed production-grade, enterprise AI platforms capable of handling high-volume traffic and large-scale workloads. Candidates whose experience is limited to building chatbots or simple AI demos are not a fit for this role.