AI Engineer

Job not on LinkedIn

November 7

Apply Now
Logo of PHDTech

PHDTech

Cybersecurity • Telecommunications • B2B

PHDTech is a cloud-based technology solutions company that has been serving the Texas market for over 18 years. Specializing in telecommunications and security technologies, PHDTech simplifies the integration of various platforms to help businesses collaborate effectively, reduce security risks, enhance productivity, and increase return on investment. With a focus on customer service and operational efficiency, PHDTech positions itself as a trusted partner that supports organizations in navigating the complexities of modern technology to enable growth and resilience.

📋 Description

• Design, develop, and deploy AI systems that address complex challenges in manufacturing applications and deliver measurable value to users. • Build and optimize agentic AI systems that can autonomously execute tasks, interact with external tools and APIs, and make intelligent decisions. • Craft and refine prompts for large language models, employing techniques such as few-shot learning, chain-of-thought reasoning, and instruction tuning to optimize model performance and reliability. • Collaborate with cross-functional teams including data scientists, software engineers, and product managers to identify AI opportunities, define requirements, and deliver integrated solutions. • Monitor and maintain deployed AI systems, troubleshooting issues, optimizing performance, and ensuring scalability and reliability in production environments. • Stay current with emerging AI research and technologies, evaluating new approaches and tools that could enhance our capabilities and recommending strategic directions for adoption. • Document technical implementations, create knowledge-sharing resources, and mentor team members on AI engineering best practices and prompt optimization techniques. • Validating results in real-world deployments with our customers • Engaging with the technical community to present results externally, keep up to date on recent advances, and advance the state of the art

🎯 Requirements

• 3-5 years professional experience as an AI/ML Engineer and advanced degrees (M.S. or PhD. in AI, Machine Learning, CS Theory and Algorithms, Computer Science with ML/AI Planning focus, Economics, Operations Research, or related fields) • Experience with Agentic AI is a strong plus • Proficient with Python, including most common AI frameworks and protocols including ADK, MCP, Langchain and exposure to ML and Optimization libraries • Experience with SQL and GCP is a plus. • Enthusiasm to own projects end-to-end; from experimentation to customer delivery

🏖️ Benefits

• Measurable impact to the world and the chance to help real people - family businesses, entrepreneurs, engineers. • Exposure to many tech disciplines, most of which are rapidly evolving. • A bridge between the physical and cloud worlds of tech. Our platform unites big data visualizations with sensors, M2M tech, and heavy industrial equipment. • A platform that has the potential to evolve beyond what we have envisioned now. • Scientific and transparent thinking, for everyone involved. • We have backing by world leaders of both industry and tech that will ensure long term growth and development for us.

Apply Now

Similar Jobs

November 6

AI Engineer designing and deploying intelligent features across applications, collaborating with Data Science & AI Engineering teams for AI-driven solutions.

AWS

Cloud

Numpy

Pandas

Python

PyTorch

Scikit-Learn

SQL

Tensorflow

November 5

Senior AI Engineer role at Codvo, focusing on backend systems for Generative AI applications with pipeline development and AI service integration.

AWS

Azure

Cloud

Docker

Google Cloud Platform

Kubernetes

Python

November 5

Senior AI Engineer developing AI-powered products to enhance customer interactions at Capital One. Collaborating with cross-functional teams to architect and optimize AI systems for better banking experiences.

AWS

Azure

Cloud

Java

Open Source

Python

PyTorch

Scala

Go

November 4

AI Engineer focused on vision-based algorithms for autonomous robots at Energy Robotics. Developing machine vision techniques with deep learning and various data modalities.

AWS

Cloud

Docker

Python

PyTorch

November 4

decircle

1 - 10

Head of Product overseeing micropayments initiative at Semiotic.ai. Collaborating with the CEO and teams to align product strategy within decentralized economic systems.

Web3

Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com