Artificial Intelligence Engineer

Title: AI Engineer

Location: Dallas, TX (Day 1 Onsite)

Role Overview

We are seeking a highly skilled AI Engineer to design, develop, and deploy scalable machine learning and AI-driven solutions. The ideal candidate will have strong experience in building production-grade ML systems, working with Large Language Models (LLMs), and delivering high-impact applications in a cloud-based environment.

Key technical skills for Agentic AI in 2026 involve building autonomous, multi-step workflows using Python, LLM orchestration frameworks (LangChain, AutoGen), and API integration. Core competencies include prompt engineering, agentic RAG for data retrieval, planning/reasoning capabilities, and developing robust memory management

Key Technical Skills & Usage Examples

• Programming (Python): Essential for writing logic, connecting APIs, and building end-to-end workflows.
• Frameworks (LangChain, AutoGen, CrewAI): Used for developing autonomous agent teams and multi-agent orchestration.
• Prompt Engineering & Instruction Design: Creating structured prompts to improve task success rates by up to 35%.
• Planning & Reasoning: Designing agents that break down complex goals into actionable sub-tasks.
• Tool Use & API Orchestration: Connecting AI models to external tools (databases, browsers, calculators) to act upon data, increasing success by 46%.
• Vector Databases & RAG: Implementing retrieval-augmented generation for memory and knowledge management.
• Evaluation & Testing: Testing agent reliability, accuracy, and monitoring for hallucination

Key Responsibilities

• Design, develop, and maintain scalable AI/ML applications, with a strong focus on Python-based systems
• Architect, build, and deploy production ML systems including model serving, evaluation, monitoring, and data pipelines
• Develop and implement solutions using Large Language Models (LLMs), including prompt engineering, fine-tuning, and RAG-based applications
• Integrate LLM APIs and build intelligent applications using vector databases, tool-based agents, and function calling
• Collaborate with cross-functional teams to translate business requirements into scalable AI solutions
• Ensure performance, scalability, and reliability of deployed AI systems
• Continuously evaluate and adopt emerging AI/ML technologies and best practices

Required Skills & Qualifications

• 5 years of software development experience in one or more languages: Python (preferred), C/C , Go, or Java
• 3 years of experience designing, building, and deploying production ML systems
• Hands-on experience with LLMs including API integration, prompt engineering, fine-tuning, and RAG architectures
• Familiarity with leading LLMs such as OpenAI, Gemini, Llama, Qwen, and Claude
• Strong understanding of machine learning concepts, applied statistics, algorithms, and data structures
• Experience building data pipelines and handling large-scale datasets
• Strong problem-solving skills, ownership mindset, and ability to work in a fast-paced environment
• Excellent communication skills with the ability to explain complex concepts clearly

Preferred Qualifications

• Experience working with AWS cloud services (ECS/EKS, Lambda, S3, DynamoDB, Redshift, SageMaker)
• Knowledge of containerization and orchestration (Docker, Kubernetes)
• Experience with workflow orchestration (Step Functions)
• Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation