AI ENGINEER

Job Title: AI Engineer

Location: Dallas, TX

Duration: Long term contract

IDEAL PROFILE:

Python-first AI Engineer who builds production ML Agentic AI systems at enterprise scale using AWS.

1. Strong Engineering Foundation (Critical)

- Python is primary language

- Builds scalable backend services/APIs

- Shows performance optimization (latency, throughput)

2. Agentic AI (Top Filter)

- Hands-on with LangChain / AutoGen / CrewAI

- RAG pipelines with vector DBs

- Real use case with impact metrics

3. AWS Cloud Depth

- SageMaker, EKS/ECS, Lambda, S3

- Real deployment examples

4. ML Statistics Foundations

- Evaluation metrics (precision, recall, F1, AUC)

- ML concepts & algorithms

5. Production ML Systems

- End-to-end lifecycle: training, deployment, monitoring

- Model serving & monitoring

6. Analytical Problem Solving

- Problem → Solution → Impact

- Measurable results

7. Enterprise Platform Experience

- Platform-level systems used across teams

- High-scale, distributed systems

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 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