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# AI/ML Engineer

- **Company:** Tech3pillars Technologies
- **Location:** Richardson, TX, United States
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** LangGraph Framework, Microsoft Excel, Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Cloud Engineering, DevOps, Monitoring of Systems, JSON, Python (Programming Language), PostgreSQL, Machine Learning, Performance Tuning, Power BI, OpenAI, Software Engineering, SQL Databases, Tableau (Software), TypeScript, Data Processing, Spring Cloud, GitHub Copilot, ReactJS, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Agentic-AI, Gitlab, Git, Cloudformation, Fastapi, Containerization, AI Platforms, AngularJS, Semi-structured Data, Kubernetes, Amazon Bedrock, Plotly, Machine Learning Operations, Functional Programming, Restful APIs, Model Context Protocol, OpenAI Codex, Terraform, Intelligent Document Processing, Docker
- **Published:** October 29, 2026
- **Apply:** https://www.careerjet.com/jobad/us3fcdc4e9ec1a7ad0349481878e1d3fa7

## About the Role

The ideal candidate will have strong hands-on expertise in Generative AI, Large Language Models (LLMs), Python development, AWS AI services, AI agents, MLOps, DevOps, and cloud engineering. Must-Have Skills
AI/ML Engineering and Generative AI
Strong Python development experience
Large Language Models (OpenAI, Anthropic, Amazon Bedrock, etc.)
Prompt engineering and LLM application development
AWS services: Bedrock, Lambda, S3, EC2, and SageMaker
REST API development, preferably FastAPI
SQL and data modeling
MLOps, model deployment, and model monitoring
CI/CD pipelines, GitLab/Git, and Docker
RAG (Retrieval-Augmented Generation), vector databases, and embeddings
Data processing using JSON, Excel, structured, and semi-structured data
Strong problem-solving, analytical, and communication skills
5 8+ years of software engineering experience Detailed Job Responsibilities
Design, develop, and deploy enterprise-grade AI/ML and Generative AI solutions.

## Description

We are seeking a highly experienced Senior AI Engineer / AI & DevOps Engineer to design, develop, deploy, and operationalize enterprise AI solutions, intelligent automation capabilities, model monitoring platforms, and cloud-native applications., Develop scalable Python-based applications and REST APIs using FastAPI or similar frameworks.
Integrate AI solutions with AWS services, including Amazon Bedrock, Lambda, S3, EC2, and SageMaker.
Develop intelligent automation capabilities and AI-powered workflows.
Implement MLOps practices for model deployment, monitoring, performance optimization, and governance.
Build and maintain CI/CD pipelines using GitLab/Git and containerization technologies such as Docker.
Process and transform structured and semi-structured data for AI applications.
Implement model monitoring, observability, and production support processes.
Collaborate with engineering, data science, DevOps, and business teams to deliver enterprise AI solutions.
Follow best practices for security, scalability, reliability, and responsible AI implementation. Nice-to-Have Skills
LangChain and LangGraph
AI agents and multi-agent frameworks
Angular, React, and TypeScript
PostgreSQL
Tableau, Power BI, or Plotly
Terraform, Kubernetes, and CloudFormation
MCP (Model Context Protocol)
GitHub Copilot / OpenAI Codex administration
Financial services or mortgage domain experience
AWS AI/ML certifications
Foundation model fine-tuning
Intelligent Document Processing (IDP), OCR, and NLP