AI Lead (Generative AI)

Programmers.io; Irving (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

Programmers.io in Irving, TX is seeking an AI/GenAI engineer to contribute to prompt engineering, develop AI-powered workflows, and assist in deploying models to production. You will collaborate with data scientists and engineers to ensure seamless AI integration and reliable APIs.

Strong Python and ML framework experience are important, with exposure to LangChain, LlamaIndex, and Hugging Face considered a plus.

Qualifications

• Must have strong experience with LLMs, prompt engineering, and workflow orchestration.
• Familiarity with RAG systems and hybrid search techniques.
• Experience with Multi-Agent systems and containerization (Docker).
• Proficiency in Python for AI development, data preprocessing, and scripting.
• Exposure to generative AI tools (LangChain, Hugging Face, LlamaIndex) is a plus.
• Understanding of version control (Git) and responsible AI principles.

Responsibilities

• Contribute to prompt engineering and development of AI-powered workflows.
• Assist with deployment, monitoring, and maintenance of AI models in production.
• Collaborate with data scientists and engineers for AI integration.
• Perform data preprocessing, feature engineering, and API development for AI apps.
• Participate in code reviews, testing, and documentation for quality and reliability.
• Stay updated with GenAI advancements and share learnings with the team.

Skills

LLMs

Prompt engineering

Workflow orchestration

RAG systems

Hybrid search

Multi-Agent systems

Python

AI frameworks (PyTorch/TF/Keras)

Git

Tools

Docker

LangChain

Hugging Face

LlamaIndex

PyTorch

TensorFlow

Keras

Git

Job description

Key Responsibilities:

Contribute to prompt engineering and development of AI-powered workflows

Assist with the deployment, monitoring, and maintenance of AI models in production environments.

Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities.

Perform data preprocessing, feature engineering, and API development for AI applications.

Participate in code reviews, testing, and documentation to ensure quality and reliability.

Stay updated with advancements in GenAI and share relevant learnings with the team.

Required Technical Skills:

Familiarity with LLMs, prompt engineering, and workflow orchestration.

Exposure to RAG systems and basic knowledge of hybrid search techniques.

Exposure to Multi-Agent systems.

Understanding of model deployment and containerization (Docker).

Proficiency in Python for AI development, data preprocessing, and scripting.

Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a plus.

Understanding of version control systems (Git).

Awareness of AI compliance, data privacy, and responsible AI principles.

Hands-on experience with at least one major machine learning framework (PyTorch, TensorFlow, Keras). (Advantageous)

Required Soft Skills:

Strong teamwork and communication abilities.

Willingness to learn new AI/ML technologies and frameworks.

Analytical mindset and attention to detail.

Openness to feedback and continuous improvement.