Overview
Hybrid
Depends on Experience
Contract - W2
Skills
Python
Artificial Intelligence
Amazon Web Services
DevOps
GitHub
Kubernetes
LLM
Agentic AI
Agentic
LangGraph
Job Details
Position: Lead AI Engineer/ Python Core
Location: Houston, TX - Hybrid
Duration: 12+Months with possible extensions
Must Have:
AI: Agentic AI, LangGraph, LangChain, LLMs, Prompting methods and Chunking strategies
Development: Python experience, basic knowledge of react
Cloud: AWS services (knowledge of services/tools like BedRock, SageMaker)
DevOps: CICD, Kubernetes, Docker
Others: SQL queries, data model/design, LLM and SQL Tools, RAG, GitHub actions, development best practices, performance optimisations, etc.
Core technical skills:
- Python Expertise
- Advanced proficiency in Python programming.
- Experience with asynchronous programming, decorators, and design patterns.
- Familiarity with Python frameworks (e.g., FastAPI, Flask, Django).
- LLM & Agentic AI
- Deep understanding of LLMs
- Experience with agentic frameworks like LangChain
- Knowledge of prompt engineering, tool integration, memory management, and planning modules.
- Software Architecture & Design
- Ability to design scalable, modular, and maintainable systems.
- Experience with microservices, event-driven architecture, and API design.
- DevOps & Deployment
- Proficiency with CI/CD pipelines, Docker, Kubernetes.
- Experience deploying AI models and services on cloud platforms (AWS, Azure, Google Cloud Platform).
- Version Control & Collaboration
- Strong Git skills and experience with branching strategies.
- Familiarity with code review tools and practices.
- Front-end Development: Solid experience with React.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.