Senior Python Generative AI Engineer

Tech Genius inc; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

American Airlines is seeking a Senior Python Generative AI Engineer for its Agentic AI and RAG initiatives in the DFW, TX area. You will design, develop, and scale large AI-enabled systems in production environments, mentoring peers and shaping architectural decisions.

The role emphasizes hands-on coding, systems thinking, and collaboration with security teams to embed best practices early in development lifecycles.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
• 7+ years of experience designing, developing, and implementing large-scale solutions in production environments

Responsibilities

• Writes, tests, and documents technical work products (e.g., code, scripts, processes) according to organizational standards and practices
• Solves technical problems and builds components/libraries with far-ranging impact
• Delivers high-quality work and coaches more junior engineers on technical craftsmanship
• Conducts root cause analysis to identify systemic problems and defines and leads execution of action items to address
• Designs thoughtfully integrated systems that model organizational best practices, allowing disparate teams across product domains to deliver value with speed, scale, and reliability
• Oversees the management of technical debt in existing systems and drives opportunities to eliminate within ongoing implementations
• Consistently anticipates scaling, latency, and durability challenges and guides teams in implementation of mitigating strategies
• Partners with the security organization to incorporate security conscious practices early in the lifecycle of new systems
• Thoughtfully evaluates technical risks and guides toward practical prevention strategies
• Consistently reflects on squad delivery practices throughout their span of influence, recommends improvements to leadership and drives their implementation
• Maintains a focus on removing the duplication of effort across teams and proactively identifies opportunities for reuse within their span of influence
• Thoughtfully measures and assesses team and identifies areas of development for individuals
• Explores emerging technologies, leads development of prototypes with little or no guidance and incorporates into architectural solutions where appropriate

Skills

Python

Agentic AI

RAG

Education

Bachelor's degree in CS/Engineering

Tools

Kubernetes

GitHub Actions

Job description

Role: Senior Python Generative AI Engineer - Agentic AI and RAG

Location : DFW, TX

Client : American Airlines

Exp :7+

Visa: H1B / H4 EAD

Description:

This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.

Writes, tests, and documents technical work products (e.g., code, scripts, processes) according to organizational standards and practices

Solves technical problems and builds components/libraries with far-ranging impact

Delivers high-quality work and coaches more junior engineers on technical craftsmanship

Conducts root cause analysis to identify systemic problems and defines and leads execution of action items to address

Designs thoughtfully integrated systems that model organizational best practices, allowing disparate teams across product domains to deliver value with speed, scale, and reliability

Oversees the management of technical debt in existing systems and drives opportunities to eliminate within ongoing implementations

Consistently anticipates scaling, latency, and durability challenges and guides teams in implementation of mitigating strategies

Partners with the security organization to incorporate security conscious practices early in the lifecycle of new systems

Thoughtfully evaluates technical risks and guides toward practical prevention strategies

Consistently reflects on squad delivery practices throughout their span of of influence, recommends improvements to leadership and drives their implementation

Maintains a focus on removing the duplication of effort across teams and proactively identifies opportunities for reuse within their span of influence

Thoughtfully measures and assesses team and identifies areas of development for individuals

Explores emerging technologies, leads development of prototypes with little or no guidance and incorporates into architectural solutions where appropriate

ALL YOU'LL NEED FOR SUCCESS

Minimum Qualifications – Education & Prior Job Experience

Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training

7+ years of experience designing, developing, and implementing large-scale solutions in production environments

Top Requirements:

• Python
• Agentic AI
• RAG

Nice to Have Skills and Experience:

Java, Cloud Technologies (Kubernetes), GitHub Actions, Travel domain knowledge