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 pods 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