Sr. AI Engineer - Python

First Point Group; Plano (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

First Point Group is seeking a Senior AI Engineer to design, develop, and deploy next‑generation AI solutions powered by LLMs, LangChain, and workflow automation technologies. The ideal candidate will have deep expertise in Python development, LangChain, LangGraph, and modern AI ecosystems, with the ability to build scalable, production-ready conversational and automation platforms.

You will work with Python, LangChain, LangGraph, and Azure, integrating models like OpenAI GPT, Claude, and Llama

Qualifications

• Strong experience with Python and asynchronous programming.
• Hands-on with LangChain and LangGraph in production.
• Deep knowledge of Large Language Models (LLMs) and Small Language Models (SLMs).
• Prompt engineering and generative AI optimization techniques.
• Experience designing and debugging complex graph-based conversational workflows.
• Strong API development and integration experience.
• Familiarity with ML frameworks like PyTorch, TensorFlow, and Hugging Face Transformers.
• Experience building autonomous workflows using agentic AI frameworks.

Responsibilities

• Design, develop, and maintain AI-driven applications using Python, LangChain, and LangGraph.
• Build complex agentic workflows and stateful conversational systems using graph-based architectures.
• Integrate LLMs such as OpenAI GPT, Claude, and Llama into enterprise applications.
• Create, test, and optimize prompts to improve model performance and user experience.
• Develop workflow automation solutions using agent-based frameworks and orchestration tools.
• Integrate external APIs, databases, and enterprise systems into AI-powered applications.
• Collaborate with product, engineering, and data teams to define technical requirements and deliver innovative AI solutions.
• Evaluate, monitor, and improve AI agents using evaluation frameworks and methodologies.
• Participate in architecture discussions, code reviews, and best-practice initiatives.
• Deploy and maintain AI applications in cloud environments, preferably Microsoft Azure.

Skills

Python

Asynchronous programming

OOP

Communication

Tools

LangChain

LangGraph

OpenAI GPT

Claude

Llama

Azure

PyTorch

TensorFlow

Hugging Face Transformers

Job description

We are seeking a highly skilled Senior AI Engineer to design, develop, and deploy next-generation AI solutions powered by Large Language Models (LLMs), agentic frameworks, and workflow automation technologies. The ideal candidate will have deep expertise in Python development, LangChain, LangGraph, and modern AI ecosystems, with the ability to build scalable, production-ready conversational and automation platforms.

Key Responsibilities

• Design, develop, and maintain AI-driven applications using Python, LangChain, and LangGraph.
• Build complex agentic workflows and stateful conversational systems using graph-based architectures.
• Integrate LLMs such as OpenAI GPT, Claude, Llama, and other foundation models into enterprise applications.
• Create, test, and optimize prompts to improve model performance and user experience.
• Develop workflow automation solutions using agent-based frameworks and orchestration tools.
• Integrate external APIs, databases, and enterprise systems into AI-powered applications.
• Collaborate with product, engineering, and data teams to define technical requirements and deliver innovative AI solutions.
• Evaluate, monitor, and improve AI agents using industry-standard evaluation frameworks and methodologies.
• Participate in architecture discussions, code reviews, and best-practice initiatives.
• Deploy and maintain AI applications in cloud environments, preferably Microsoft Azure.

Required Qualifications

• Strong proficiency in Python, including asynchronous programming, object-oriented programming (OOP), and advanced data structures.
• Proven experience with LangChain and LangGraph in production environments.
• Deep understanding of Large Language Models (LLMs) and Small Language Models (SLMs).
• Hands-on experience with prompt engineering and generative AI optimization techniques.
• Experience designing and debugging complex graph-based conversational workflows.
• Strong API development and integration experience.
• Familiarity with machine learning frameworks such as:
• PyTorch
• TensorFlow
• Hugging Face Transformers
• Experience building autonomous workflows using agentic AI frameworks.
• Knowledge of AI agent evaluation methodologies and tools.
• Excellent analytical, problem-solving, and communication skills.