GenAI / Agentic AI Engineer ___ Houston TX - Onsite ___ Contract

Qualifications

• Strong experience with cloud-native development, including secure handling of secrets, environment variables, and
• Proficiency in CI/CD pipelines for AI systems and microservices
• Familiarity with team-based access control, code ownership, and repository governance
• Skilled in modern programming languages and infrastructure-as-code practices
• Ability to manage API specifications and service integrations across platforms
• Experience agile software development
• Experience designing and deploying conversational agents and multi-agent systems
• Capable of orchestrating agent workflows, managing context, and integrating external data sources
• Comfortable evaluating trade-offs between deployment models (e.g. serverless vs. containerised)
• Security & Compliance
• Awareness of enterprise data privacy and cybersecurity standards
• Ability and willingness to collaborate with Perth based Engagement Lead on a daily basis supporting the discovery
• Experience in AI and Gen AI Tools and Technologies, Stakeholder Management,

Responsibilities

• Understanding of retrieval-augmented generation (RAG) patterns and scalable inference strategies
• Responsible handling of user interactions and logs, with clear boundaries for data retention and observability
• Tooling & Observability
• Use of observability tools for tracing, logging, and performance monitoring
• Familiarity with API testing and authentication flows across service layers
• Leadership & Collaboration Expectations
• Lead technical design decisions and resolve blockers across pods
• Manage code reviews, shared modules, and ensure engineering consistency
• Drive agile development practices including sprint planning, backlog grooming, and velocity tracking
• Foster a culture of growth mindset, technical excellence, encouraging experimentation, learning from failure, and
• Support onboarding and mentoring of developers and AI engineers
• Engage with business stakeholders when needed (Inform Engagement Lead)
• Communication & Stakeholder Engagement Expectations
• Work closely with the Tech Chapter Lead and Engagement Lead to align technical decisions with the AI platform
• strategy, business goals, and cross-team dependencies
• Represent the pod in technical forums, showcases, and architecture reviews
• Communicate risks, trade-offs, and technical constraints clearly to non-technical stakeholders
• Ensure timely updates to the Engagement Lead on technical decisions and stakeholder conversations
• Generic Managerial Skills, If any
• Lead the pod's day-to-day development and technical decisions
• Translate product objectives into implementation plans and sprint goals
• Directly manage developers and AI engineers

Full Description

Role: GenAI / Agentic AI Engineer

Location: Houston TX - Onsite

Duration: 6-12 months

Engineering & Architecture

Strong experience with cloud-native development, including secure handling of secrets, environment variables, and

service configurations.

Proficiency in CI/CD pipelines for AI systems and microservices.

Familiarity with team-based access control, code ownership, and repository governance.

Skilled in modern programming languages and infrastructure-as-code practices.

Ability to manage API specifications and service integrations across platforms.

Experience agile software development

AI & Agentic Systems

Experience designing and deploying conversational agents and multi-agent systems.

Capable of orchestrating agent workflows, managing context, and integrating external data sources.

Understanding of retrieval-augmented generation (RAG) patterns and scalable inference strategies.

Comfortable evaluating trade-offs between deployment models (e.g. serverless vs. containerised).

Security & Compliance

Awareness of enterprise data privacy and cybersecurity standards.

Responsible handling of user interactions and logs, with clear boundaries for data retention and observability.

Tooling & Observability

Use of observability tools for tracing, logging, and performance monitoring.

Familiarity with API testing and authentication flows across service layers.

Roles & Responsibilities

Leadership & Collaboration Expectations

Ability and willingness to collaborate with Perth based Engagement Lead on a daily basis supporting the discovery

phase of initiatives

Lead technical design decisions and resolve blockers across pods.

Manage code reviews, shared modules, and ensure engineering consistency.

Drive agile development practices including sprint planning, backlog grooming, and velocity tracking.

Foster a culture of growth mindset, technical excellence, encouraging experimentation, learning from failure, and

continuous improvement.

Support onboarding and mentoring of developers and AI engineers.

Engage with business stakeholders when needed (Inform Engagement Lead).

Communication & Stakeholder Engagement Expectations

Work closely with the Tech Chapter Lead and Engagement Lead to align technical decisions with the AI platform

strategy, business goals, and cross-team dependencies.

Represent the pod in technical forums, showcases, and architecture reviews.

Communicate risks, trade-offs, and technical constraints clearly to non-technical stakeholders.

Ensure timely updates to the Engagement Lead on technical decisions and stakeholder conversations.

Generic Managerial Skills, If any

Focus Areas:

Lead the pod's day-to-day development and technical decisions.

Translate product objectives into implementation plans and sprint goals.

Directly manage developers and AI engineers.

Key Words to search in Resume

Experience in AI and Gen AI Tools and Technologies, Stakeholder Management,

Pre-Screening Questionnaire

Working with AI Technologies, Gen AI Solutions