AI Engineer

SoftPathTechnologies; Plano (TX); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Onsite work

Job summary

SoftPathTechnologies is seeking a Senior AI Engineer to design, build, and deploy production-grade AI models and systems. The role requires 10+ years in software engineering with 7+ years in AI/ML, and will work onsite 5 days? per week across Plano, NY/NJ, or Columbus locations.

You will architect AI/ML solutions, pipelines, and MLOps practices to drive business impact. You will collaborate with product managers and engineers to deliver scalable AI capabilities, optimize performance, and ensure

Qualifications

• 10+ years of software engineering experience with 7+ years in AI/ML in production.
• Proficiency in Python and modern frameworks (PyTorch, TensorFlow, Hugging Face, LangChain).
• Experience with Generative AI paradigms (RAG, LLM fine-tuning, prompt engineering, vector databases).
• Cloud infrastructure experience (AWS, Azure, or GCP) including Docker and Kubernetes.
• Strong REST API and SQL/NoSQL database design fundamentals.

Responsibilities

• Architect, build, and scale ML, DL, and Generative AI solutions for production environments.
• Design end-to-end data pipelines and feature workflows for model training, fine-tuning, and evaluation.
• Deploy AI models to high-availability cloud infrastructure and implement CI/CD for monitoring and retraining.
• Collaborate with product managers, data engineers, and software architects to integrate AI into enterprise software.
• Optimize inference speed, latency, and resource usage for complex AI systems.

Skills

AI/ML architecting

Python

PyTorch

TensorFlow

Hugging Face

LangChain

RAG

LLM fine-tuning

Prompt engineering

Vector databases

AWS/Azure/GCP

Docker

Kubernetes

REST APIs

SQL/NoSQL

Education

Master's degree in CS/Data Science/AI

Bachelor's degree in CS/Data Science/AI

Tools

MLflow

Kubeflow

SageMaker

Job description

Job Title

Senior AI Engineer

Location

Plano, TX | New York, NY / New Jersey | Columbus, OH

Work Model

Onsite (3 Days / Week)

Job Type

Contract

Role Overview

We are seeking an experienced Senior AI Engineer to join our team in building advanced artificial intelligence and machine learning solutions. In this role, you will design, build, and deploy production-grade AI models and systems to drive business impact. This position requires working 3 days onsite at one of our primary locations in Plano, NY/NJ, or Columbus.

Key Responsibilities

• AI & ML Architecture: Architect, build, and scale machine learning, deep learning, and Generative AI (LLM) solutions for production environments.

• Model Pipeline Development: Design end-to-end data pipelines and feature engineering workflows to support model training, fine-tuning, and evaluation.

• Deployment & MLOps: Deploy AI models into high-availability cloud infrastructure and implement CI/CD pipelines for model monitoring, testing, and automated retraining.

• Cross-Functional Collaboration: Partner with product managers, data engineers, and software architects to integrate AI capabilities seamlessly into enterprise software systems.

• Performance Optimization: Optimize inference speed, latency, and resource consumption for complex AI systems.

Qualifications & Requirements

• Experience: 10+ years of experience in software engineering, with 7+ years specifically focused on building and deploying AI/ML solutions in production.

• Technical Stack:

  • Proficiency in Python and modern frameworks (PyTorch, TensorFlow, Hugging Face, LangChain).

  • Strong experience with modern Generative AI paradigms (RAG, LLM fine-tuning, prompt engineering, vector databases).

  • Cloud infrastructure experience (AWS, Azure, or GCP) including containerization (Docker, Kubernetes).

  • Solid grounding in software design patterns, REST APIs, and database design (SQL/NoSQL).

• Onsite Expectation: Ability to work full-time onsite (5 days/week) at our location in
  Plano (TX), NY/NJ area, or Columbus (OH).

Preferred Qualifications

• Master s or Bachelor s degree in Computer Science, Data Science, AI, or a related quantitative field.

• Background in financial services, healthcare, or high-throughput enterprise technology environments.

• Hands-on experience with MLOps frameworks (e.g., MLflow, Kubeflow, SageMaker).