AI/ML Lead

Programmers.io; Dallas (TX); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Programmers.io is seeking an AI/ML Lead to join their team, based in Dallas, TX or Tampa, FL (3 days onsite). The ideal candidate should have over 10 years of experience in software development and a strong proficiency in Python, especially with FastAPI.

This role involves deploying solutions using Generative AI frameworks and requires solid understanding of architecture design principles for distributed applications. A full-time position with all benefits is offered.

Qualifications

• 10+ years of professional experience in software development and system design.
• Strong problem-solving skills and ability to work in a fast-paced environment.

Responsibilities

• Lead AI/ML projects focused on Generative AI and RAG architectures.
• Design and implement scalable, distributed systems.

Skills

Python proficiency

FastAPI experience

Generative AI frameworks

RAG architectures

Cloud platform deployment (AWS, Azure, GCP)

Problem-solving skills

Tools

Docker

Kubernetes

Job description

One of our clients operating globally is looking for an AI/ML Lead located in Tampa, FL, or Dallas, TX (3 days onsite).

Location: Tampa, FL, Dallas TX (3 days onsite)

Duration: Full time with all benefits

Experience: 10+ years of professional experience in software development and system design.

Required Skills:

• Strong proficiency in Python and experience with FastAPI for API development.
• Hands‑on experience with Generative AI frameworks and Retrieval-Augmented Generation (RAG) architectures.
• Solid understanding of system and architecture design principles for distributed applications.
• Experience deploying solutions on any major cloud platform (AWS, Azure, GCP).
• Familiarity with vector databases, embedding models, and retrieval pipelines.
• Strong problem‑solving skills and ability to work in a fast‑paced environment.

Preferred Qualifications:

• Experience with LLM fine‑tuning, prompt engineering, and model evaluation.
• Knowledge of containerization (Docker) and orchestration (Kubernetes).
• Exposure to CI/CD pipelines and DevOps practices.