W2 - Lead AI Engineer/ Python Core - Houston, TX, 2 days in office

Qualifications

• Employment: C2CLength: 1 year, can be extended Position: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, DockerOthers : SQL queries, data model/design, LLM and SQL Tools, RAG, GitHub actions, development best practices, performance optimisations, etc JD: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

Full Description

Title: Lead AI Engineer/ Python CoreLocation: Houston, TX, 2 days in officeEmployment: C2CLength: 1 year, can be extended Position:Must Have:AI : Agentic AI, LangGraph, LangChain, LLMs, Prompting methods and Chunking strategiesDevelopment : Python experience, basic knowledge of reactCloud : AWS services (knowledge of services/tools like BedRock, SageMaker)DevOps : CICD, Kubernetes, DockerOthers :SQL queries, data model/design, LLM and SQL Tools, RAG, GitHub actions, development best practices, performance optimisations, etc JD: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.