AI/ML Engineer

Tech3pillars Technologies; Richardson (TX); Hybrid; USD 130,000 - 180,000; Full time

Job summary

Tech3pillars Technologies is seeking a Senior AI Engineer / AI & DevOps Engineer to design, deploy, and operationalize enterprise AI solutions, intelligent automation capabilities, and cloud-native applications. You will work with Generative AI, LLMs, Python development, AWS AI services, AI agents, MLOps, DevOps, and cloud engineering to build scalable, production-grade systems.

This hybrid role requires 3 onsite days per week at Richardson, TX, with collaboration across Hartford, Raleigh and

Qualifications

• 6+ years in AI/ML engineering or software development.
• Strong Python development experience with production systems.
• Hands-on with Generative AI and LLMs (OpenAI, Anthropic, Bedrock, etc.).
• Experience in prompt engineering and LLM app development.
• Knowledge of AWS AI services and MLOps practices.
• CI/CD pipelines, GitLab, and Docker familiarity.
• Experience with data modeling, REST APIs, and scalable architectures.

Responsibilities

• Design, develop, and deploy enterprise-grade AI/ML solutions.
• Build LLM-powered applications with prompt engineering and RAG.
• Develop Python-based apps and REST APIs using FastAPI or similar.
• Integrate AI with AWS services like Bedrock, Lambda, S3, EC2, SageMaker.
• Implement intelligent automation and AI-powered workflows.
• Apply MLOps for deployment, monitoring, and governance.
• Build CI/CD pipelines and containerize using Docker.
• Process structured and semi-structured data for AI apps.
• Establish model monitoring, observability, and production support.
• Collaborate across engineering, data science, DevOps, and business teams.
• Adhere to security, scalability, reliability, and responsible AI practices.

Skills

AI/ML Engineering

Python development

LLMs

Prompt engineering

MLOps

DevOps

Problem solving

Communication

Software engineering

REST APIs

Tools

AWS Bedrock

AWS Lambda

AWS S3

AWS EC2

SageMaker

FastAPI

Docker

GitLab

Kubernetes

LangChain

Vector databases

PostgreSQL

JSON/Excel data processing

Job description

Job Title: AI/ML Engineer
Work Locations: Hartford, CT 06103 | Raleigh, NC 27617 | Richardson, TX 75082 | Tempe, AZ 85281
Experience: 6 8 Years
Work Mode: Hybrid 3 Days Onsite Per Week (Mandatory)
Contract Duration: 12 Months
Interview Process: Face-to-Face Interview Required

Job Summary

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.

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.
• Build applications powered by LLMs, prompt engineering, RAG, and vector databases.
• 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